Changes to Genetic Programing Bibliography since 2024/07/27

New

1. Andelic:2024:Computers Achieving High Accuracy in Android Malware Detection through Genetic Programming Symbolic Classifier NikolaAndelic.html SandiBaressiSegota.html
2. andersen:2024:GECCOcomp Intepretable Local Explanations Through Genetic Programming HaydenAndersen.html AndrewLensen.html WillNBrowne.html YiMei.html
3. antonov:2024:GECCO A Functional Analysis Approach to Symbolic Regression KirillAntonov.html RomanTobiasKalkreuth.html KaifengYang.html ThomasBack.html NikivanStein.html AnnaVKononova.html
4. baeta:2024:GECCOcomp Exploring Evolutionary Generators within Generative Adversarial Networks FranciscoBaeta.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html TiagoMartins.html PenousalMachado.html
5. Brock_Baniasadi_Maryam_2013 Genetic Programming for Non-Photorealistic Rendering MaryamBaniasadi.html
6. banzhaf:2024:GECCO On the Nature of the Phenotype in Tree Genetic Programming WolfgangBanzhaf.html IllyaBakurov.html
7. banzhaf:2024:GECCOcomp Linear Genetic Programming WolfgangBanzhaf.html TingHu.html
8. barbosa:2024:GECCO Semantically Rich Local Dataset Generation for Explainable AI in Genomics PedroSantosBarbosa.html RosinaSavisaar.html AlcidesFonseca.html
9. bertschinger:2024:GECCO Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks AmandaBertschinger.html JamesBagrow.html JoshCBongard.html
10. bishop:2024:GECCO Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity JordanTBishop.html JasonJooste.html DavidHoward.html
11. boldi:2024:GECCOcomp3 A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis RyanBoldi.html AshleyBao.html MartinBriesch.html ThomasHelmuth.html DominikSobania.html LeeSpector.html AlexanderLalejini.html
12. briesch:2024:GECCOcomp Improving Lexicase Selection with Informed Down-Sampling MartinBriesch.html RyanBoldi.html DominikSobania.html AlexanderLalejini.html ThomasHelmuth.html FranzRothlauf.html CharlesOfria.html LeeSpector.html
13. brownlee:2024:GECCOcomp Genetic Improvement: Taking real-world source code and improving it using computational search methods AlexanderEIBrownlee.html SaemundurOskarHaraldsson.html JohnRWoodward.html MarkusWagner.html
14. burlacu:2024:GECCOcomp Backend-agnostic Tree Evaluation for Genetic Programming BogdanBurlacu.html
15. Chamani_Hooman_2021_thesis Pore Wetting in Desalination of Brine Using Membrane Distillation Process HoomanChamani.html
16. chitty:2024:GECCOcomp Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman Problem DarrenMChitty.html EdKeedwell.html
17. chitty:2024:GECCOcomp2 Improving the Efficiency Of Genetic Programming for Classification Tasks Using a Phased Approach DarrenMChitty.html
18. cornejo-maceda:2024:GECCOcomp Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control GuyYoslanCornejoMaceda.html ZhutaoJiang.html FrancoisLusseyran.html BerndRNoack.html
19. cranmer2023interpretablemachinelearningscience Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl MilesCranmer.html
20. custode:2024:GECCOcomp Comparing Large Language Models and Grammatical Evolution for Code Generation LeonardoLucioCustode.html ChiaraCamillaMiglioreRambaldi.html MarcoRoveri.html GiovanniIacca.html
21. de-la-torre:2024:GECCOcomp Multimodal Adaptive Graph Evolution CamiloDeLaTorre.html KevinCortacero.html SylvainCussat-Blanc.html DennisGWilson.html
22. de-la-torre:2024:GECCOcomp2 On Search Trajectory Networks for Graph Genetic Programming CamiloDeLaTorre.html SylvainCussat-Blanc.html DennisGWilson.html YuriLavinas.html
23. de-sa:2024:GECCOcomp Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction AlexGCdeSa.html DavidBAscher.html
24. de-melo:2024:GECCOcomp Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach ViniciusVelosodeMelo.html WolfgangBanzhaf.html GiovanniIacca.html
25. dick:2024:GECCOcomp Characterising the Double Descent of Symbolic Regression GrantDick.html CaitlinAOwen.html
26. falloon:2024:GECCO Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach MathewFalloon.html HuiMa.html AaronChen.html
27. Fei:2015:MPM Analysis of students perceptions of seafaring career in China based on artificial neural network and genetic programming JiangangFei.html Jian-JunLu.html
28. fong:2024:GECCO MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression KeiSenFong.html MehulMotani.html
29. fong:2024:GECCOcomp Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits KeiSenFong.html MehulMotani.html
30. frazier:2024:GECCOcomp Explaining Automatically Designed Software Defined Perimeters with a Two Phase Evolutionary Computation System JamesGunderFrazier.html ThomasHelmuth.html
31. gaylinn:2024:GECCOcomp A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype Maps NathanGaylinn.html JoshCBongard.html
32. gharoun:2024:GECCOcomp Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence HassanGharoun.html MohammadSadeghKhorshidi.html NavidYazdanjue.html FangChen.html AHGandomi.html
33. GonzalezTaboada_Iris_TD_2016 Self-compacting recycled concrete: basic mechanical properties, rheology, robustness and thixotropy IrisGonzalez-Taboada.html
34. hassan:2024:GECCO A Systematic Exploration of Evolutionary Computation for the Design of Hardware-oriented Non-cryptographic Hash Functions MujtabaHassan.html JoVliegen.html StjepanPicek.html NeleMentens.html
35. he:2024:GECCOcomp Hypernetwork-Based Multi-Objective Optimization with NSGA-II JieHe.html YaohongZhang.html JiWang.html XiaoqingLi.html WeidongBao.html
36. helmuth:2024:GECCO Facilitating Function Application in Code Building Genetic Programming ThomasHelmuth.html JaydenFedoroff.html EdwardRPantridge.html LeeSpector.html
37. hernandez:2024:GECCOcomp Lexidate: Model Evaluation and Selection with Lexicase JoseGuadalupeHernandez.html AnilKumarSaini.html JasonHMoore.html
38. herrera-sanchez:2024:GECCOcomp Shifting Color Space for Image Classification using Genetic Programming DavidHerrera-Sanchez.html Hector-GabrielAcosta-Mesa.html EfrenMezura-Montes.html AldoMarquez-Grajales.html
39. imai-aldeia:2024:GECCO Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html WilliamLaCava.html
40. imai-aldeia:2024:GECCO2 Minimum variance threshold for epsilon-lexicase selection GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html WilliamLaCava.html
41. jarmatz:2024:fbp Development of a soft sensor for fouling prediction in pipe fittings using the example of particulate deposition from suspension flow NiklasJarmatz.html WolfgangAugustin.html StephanScholl.html AlbertoTonda.html GuillaumeDelaplace.html
42. jia:2024:GECCOcomp2 Archive-based multiple feature construction methods using adaptive Genetic Programming KaixuanJia.html JianbinMa.html Xiaoying_Sharon_Gao.html JiaxinNiu.html
43. jorgensen:2024:GECCO Large Language Model-based Test Case Generation for GP Agents StevenPJorgensen.html GiorgiaNadizar.html GloriaPietropolli.html LucaManzoni.html EricMedvet.html Una-MayO'Reilly.html ErikHemberg.html
44. kalkreuth:2024:GECCO CGP++: A Modern C++ Implementation of Cartesian Genetic Programming RomanTobiasKalkreuth.html ThomasBack.html
45. kenny:2024:GECCO Using Bayesian Optimization to Improve Hyperparameter Search in TPOT AngusKenny.html TapabrataRay.html SteffenLimmer.html HemantKumarSingh.html TobiasRodemann.html MarkusOlhofer.html
46. khorshidi:2024:GECCOcomp Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming MohammadSadeghKhorshidi.html NavidYazdanjue.html HassanGharoun.html DanialYazdani.html MohammadRezaNikoo.html FangChen.html AHGandomi.html
47. kotanchek:2004:WTC Symbolic Regression via Genetic Programming MarkKotanchek.html
48. kowalczykiewicz:2024:GECCOcomp Introducing vectorized cluster crossover in Grammatical Evolution MichalKowalczykiewicz.html PiotrLipinski.html
49. lalejini:2024:GECCOcomp Runtime phylogenetic analysis enables extreme subsampling for test-based problems AlexanderLalejini.html MarcosSanson.html JackGarbus.html MatthewAndresMoreno.html EmilyDolson.html
50. langdon:2024:icga ``Lost Gems'' ICGA 1985: Proceedings of an International Conference on Genetic Algorithms and their Applications WilliamBLangdon.html
51. lavinas:2024:GECCOcomp2 Dynamically Sampling biomedical Images For Genetic Programming YuriLavinas.html NathanielHaut.html WilliamFPunch.html WolfgangBanzhaf.html SylvainCussat-Blanc.html
52. leser:2024:GECCOcomp Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression PatrickELeser.html GeoffreyFBomarito.html GabrielKronberger.html FabricioOlivettideFranca.html
53. li:2024:GECCOcomp3 Multi-objective multi-population Genetic Programming for feature selection and classification to high-dimensional data QiaomanLi.html Xiaoying_Sharon_Gao.html WenyangMeng.html JianbinMa.html
54. lipinski:2024:GECCOcomp Explaining Session-based Recommendations using Grammatical Evolution PiotrLipinski.html KlaudiaBalcer.html
55. morris:2024:GECCO LLM Guided Evolution - The Automation of Models Advancing Models ClintMorris.html MichaelJurado.html JasonZutty.html
56. murphy:2024:GECCOcomp EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting JaredMurphy.html DevroopKar.html JoshuaKarns.html TravisDesell.html
57. nadizar:2024:GECCO Searching for a Diversity of Interpretable Graph Control Policies GiorgiaNadizar.html EricMedvet.html DennisGWilson.html
58. newbold:2024:GECCOcomp Evolving Quantum Logic Gate Circuits in Qiskit ThomasRobertNewbold.html AlbertoMoraglio.html
59. nguyen:2024:GECCO Genetic-based Constraint Programming for Resource Constrained Job Scheduling SuNguyen.html DhananjayThiruvady.html YuanSun.html MengjieZhang.html
60. ni:2024:GECCO Effective Adaptive Mutation Rates for Program Synthesis AndrewNi.html LeeSpector.html
61. rabuge:2024:GECCOcomp A Comparison of Feature Engineering Techniques for Hearing Loss MiguelRabuge.html NunoLourenco.html
62. radwan2024comparisonrecentalgorithmssymbolic A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming YousefARadwan.html GabrielKronberger.html StephanMWinkler.html
63. raghav:2024:GECCOcomp Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy SSanjithRaghav.html STejeshKumar.html RishiikeshBalaji.html MSanjay.html CShunmugaVelayutham.html
64. reyes-fernandez-de-bulnes:2024:GECCOcomp Feature Encapsulation by Stages Using Grammatical Evolution DarianReyesFernandezdeBulnes.html AllanDeLima.html AidanMurphy.html DouglasMotaDias.html ConorRyan.html
65. russeil:2024:GECCO Multiview Symbolic Regression EtienneRusseil.html FabricioOlivettideFranca.html KonstantinMalanchev.html BogdanBurlacu.html EmilleIshida.html MarionLeroux.html ClementMichelin.html GuillaumeMoinard.html EmmanuelGangler.html
66. Samore:2013:SJOST Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious? WilliamJSamore.html
67. Samore:2018:rhlAI Artificial Intelligence and the Patent System: Can a New Tool Render a Once Patentable Idea Obvious? WilliamJSamore.html
68. schlender:2024:GECCO Improving the efficiency of GP-GOMEA for higher-arity operators ThaleaSchlender.html MafaldaMalafaia.html TanjaAlderliesten.html PeterANBosman.html
69. shahbandegan:2024:GECCO On the robustness of lexicase selection to contradictory objectives ShakibaShahbandegan.html EmilyDolson.html
70. sijben:2024:GECCO Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals EviSijben.html JeroenJansen.html PeterANBosman.html TanjaAlderliesten.html
71. stanovov:2024:GECCOcomp Designing Black-Box Optimizers with PushGP VladimirStanovov.html
72. tonelli:2024:GECCOcomp Genetic Programming for the Reconstruction of Delay Differential Equations in Economics TeresaTonelli.html GloriaPietropolli.html GabrieleSbaiz.html LucaManzoni.html
73. ul-ain:2024:GECCO Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach QurratUlAin.html HarithAl-Sahaf.html BingXue.html MengjieZhang.html
74. vella-zarb:2024:GECCOcomp Synergistic Utilization of LLMs for Program Synthesis DavidVellaZarb.html GeoffParks.html TimoleonKipouros.html
75. wang:2024:GECCOcomp5 Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression ChunyuWang.html QiChen.html BingXue.html MengjieZhang.html
76. wang:2024:GECCOcomp6 A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem ShaolinWang.html YiMei.html MengjieZhang.html
77. wen:2024:GECCO Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery JiahaoWen.html JunlanDong.html JinghuiZhong.html
78. wyrwinski:2024:GECCOcomp Guiding Genetic Programming with Graph Neural Networks PiotrWyrwinski.html KrzysztofKrawiec.html
79. xu:2024:GECCO3 Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables PeijieXu.html AndySong.html KeWang.html
80. yan:2024:GECCO2 Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds LongfeiFelixYan.html HuiMa.html GangChen.html
81. zhang:2024:GECCO2 Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html
82. zhang:2024:GECCOcomp A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press] HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html
83. zhang:2024:GECCOcomp5 Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification TuoZhang.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html

Modified

1. 1 Akbarzadeh:1998:wcci Soft computing paradigms for hybrid fuzzy controllers: experiments and applications Mohammad-RAkbarzadeh-Totonchi.html EdwardWTunstel.html KishanKumarKumbla.html MohammadJamshidi.html
2. 1 Al-Afeef:2010:ISDA Image reconstruction of a metal fill industrial process using Genetic Programming AlaaAl-Afeef.html AlaaSheta.html AdnanAl-Rabea.html
3. 1 alfonseca:2004:GPEM Book Review: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language ManuelAlfonseca.html AlfonsoOrtegadelaPuente.html
4. 8 an:2024:GI 13th International Workshop on Genetic Improvement @ICSE 2024 GabinAn.html AymericBlot.html VesnaNowack.html OliverKrauss.html JustynaPetke.html
5. 1 Androutsopoulos:2019:GPEM Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology KellyAndroutsopoulos.html
6. 1 Asonitis:2023:GPEM SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound TasosAsonitis.html RichardAllmendinger.html MattBenatan.html RicardoCliment.html
7. 1 Atmosukarto:2011:GPEM GPLAB: software review IndriyatiAtmosukarto.html
8. 1 Azad:2008:geccocomp Gecco 2008 grammatical evolution tutorial RMuhammadAtifAzad.html ConorRyan.html
9. 1 Azad:2017:GPEM Krzysztof Krawiec: Behavioral program synthesis with genetic programming RMuhammadAtifAzad.html
10. 3 Babic:2021:SpliTech A New Composite Method of Modeling Bicycle Traffic using Convolutional Neural Networks and Genetic programming MatejBabic.html BrankoSter.html JanezPovh.html JoelJPCRodrigues.html
11. 4 Babu:2007:EL Genetic Programming for Symbolic Regression of Chemical Process Systems BVBabu.html SKarthik.html
12. 1 Barbudo:2021:SoCPaR Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence RafaelBarbudoLunar.html SebastianVentura.html JoseRaulRomeroSalguero.html
13. 1 Barrett:2006:GPEM Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems John Wiley \& Sons Ltd., Chichester, UK, Keedwell, Edward and Narayanan, Ajit, 2005, 280 p., Hardcover, ISBN 0-470-02175-6 SJBarrett.html
14. 1 Batenkov:2011:GPEM Open BEAGLE: a generic framework for evolutionary computations DmitryBatenkov.html
15. 1 Baxter:2024:GI Genetic Improvement for DNN Security HunterBaxter.html YuHuang.html KevinLeach.html
16. 1 beaulieu:2002:gecco Lens System Design And Re-engineering With Evolutionary Algorithms JulieBeaulieu.html ChristianGagne.html MarcParizeau.html
17. 9 Bellanger:2024:GGP Directed Acyclic Program Graph Applied to Supervised Classification ThibautBellanger.html MatthieuLeBerre.html ManuelClergue.html Jin-KaoHao.html
18. 2 blickle:1995:css A Comparison of Selection Schemes Used in Genetic Algorithms TobiasBlickle.html LotharThiele.html
19. 3 Blot:2024:GI Automated Software Performance Improvement with Magpie AymericBlot.html
20. 1 Blum:2013:GECCOcomp GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion ChristianBlum.html EnriqueAlba.html ThomasBartz-Beielstein.html DanieleLoiacono.html FranciscoLunaValero.html JornMehnen.html GabrielaOchoa.html MikePreuss.html EmiliaTantar.html LeonardoVanneschi.html KentMcClymont.html EdKeedwell.html EmmaHart.html KevinSim.html StevenMGustafson.html Ekaterina_Katya_Vladislavleva.html AnneAuger.html BerndBischl.html DimoBrockhoff.html NikolausHansen.html OlafMersmann.html PetrPosik.html HeikeTrautmann.html MuhammadIqbal.html KamranShafi.html RyanJUrbanowicz.html StefanWagner.html MichaelAffenzeller.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html ForrestStonedahl.html WilliamMichaelRand.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html GiseleLPappa.html JohnRWoodward.html JerrySwan.html KrzysztofKrawiec.html Alexandru-AdrianTantar.html PeterANBosman.html MiguelVega-Rodriguez.html JoseMChaves-Gonzalez.html DavidLGonzalez-Alvarez.html SergioSantander-Jimenez.html LeeSpector.html MaartenKeijzer.html KennethLHolladay.html TeaTusar.html BorisNaujoks.html
21. 1 Bonifaci:2013:GPEM Andrew Adamatzky: Physarum Machines: Computers from Slime Mould VincenzoBonifaci.html
22. 1 bonin:2024:GPEM Cellular geometric semantic genetic programming LorenzoBonin.html LuigiRovito.html AndreaDeLorenzo.html LucaManzoni.html
23. 1 Boumaza:2012:GPEM Cameron Browne: Evolutionary game design, Springer briefs in computer science series AmineMBoumaza.html
24. 1 caetano:2023:GECCO Symbolic Regression Trees as Embedded Representations V_ctordeSouzaCaetano.html MatheusCandidoTeixeira.html GiseleLPappa.html
25. 15 Cambronero:thesis Mining Software Artifacts for use in Automated Machine Learning JosePabloCambroneroSanchez.html
26. 1 GECCO2003-PartI Genetic and Evolutionary Computation -- GECCO 2003, Part I ErickCantu-Paz.html JamesAFoster.html KalyanmoyDeb.html LawrenceDavis.html RajkumarRoy.html Una-MayO'Reilly.html Hans-GeorgBeyer.html RussellKStandish.html GrahamKendall.html StewartWWilson.html MarkHarman.html JoachimWegener.html DipankarDasgupta.html MitchellAPotter.html AlanCSchultz.html KathrynADowsland.html NatashaJonoska.html JulianFMiller.html
27. 1 GECCO2003-PartII Genetic and Evolutionary Computation -- GECCO 2003, Part II ErickCantu-Paz.html JamesAFoster.html KalyanmoyDeb.html LawrenceDavis.html RajkumarRoy.html Una-MayO'Reilly.html Hans-GeorgBeyer.html RussellKStandish.html GrahamKendall.html StewartWWilson.html MarkHarman.html JoachimWegener.html DipankarDasgupta.html MitchellAPotter.html AlanCSchultz.html KathrynADowsland.html NatashaJonoska.html JulianFMiller.html
28. 7 Casadei:2019:BRACIS A Multi-objective Approach for Symbolic Regression with Semantic Genetic Programming FelipeCasadei.html JoaoFranciscoBSMartins.html GiseleLPappa.html
29. 2 Edgar_Enrique_Casasola_Murillo Desarrollo de un modelo computacional para la especificacion de sistemas de analisis de sentimiento con comentarios de redes sociales en espanol EdgarEnriqueCasasolaMurillo.html
30. 1 Cerny:2008:gecco Using differential evolution for symbolic regression and numerical constant creation BrianMCerny.html PeterCNelson.html ChiZhou.html
31. 1 chambers:2001:GPEM Book Review: Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming LanceDChambers.html
32. 2 Chittilappilly:2023:ACCAI A Comparative Analysis of Optimizing Medical Insurance Prediction Using Genetic Algorithm and Other Machine Learning Algorithms RoseMaryChittilappilly.html SanjanaSuresh.html ShanthiniShanmugam.html
33. 1 chlebik:2023:GECCOcomp Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network JakubChlebik.html JiriJaros.html
34. 1 cho:1996:mNNeGP Modular Neural Networks Evolved by Genetic Programming SungBaeCho.html KatsunoriShimohara.html
35. 1 Ciesielski:2008:GPEM Linear genetic programming, Springer Science+Business Media, Markus Brameier and Wolfgang Banzhaf, 2007, 315 pp, Book Series: Genetic Programming, Hard Cover, 62.95, ISBN 0-387-31029-0 VictorCiesielski.html
36. 1 Collet:2009:GPEM Husbands, Holland, and Wheeler (eds): Review of the book "The Mechanical Mind in History" MIT Press, 2008, ISBN 978-0-262-08377-5 PierreCollet.html
37. 1 corno:2002:emctpi Efficient Machine-Code Test-Program Induction FulvioCorno.html GianlucaCumani.html MatteoSonzaReorda.html GiovanniSquillero.html
38. 3 Corso:2020:ITSC Interpretable Safety Validation for Autonomous Vehicles AnthonyCorso.html MykelJKochenderfer.html
39. 4 Cortacero:2023:NatCommun Evolutionary design of explainable algorithms for biomedical image segmentation KevinCortacero.html BrienneMcKenzie.html SabinaMueller.html RoxanaKhazen.html FannyLafouresse.html GaelleCorsaut.html NathalieVanAcker.html Francois-XavierFrenois.html LaurenceLamant.html NicolasMeyer.html BeatriceVergier.html DennisGWilson.html HerveLuga.html OskarStaufer.html MichaelLDustin.html SalvatoreValitutti.html SylvainCussat-Blanc.html
40. 1 cranmer:2005:CPC PhysicsGP: A Genetic Programming approach to event selection KyleSCranmer.html RSeanBowman.html
41. 1 CUEVAS:2018:ESA A selection method for evolutionary algorithms based on the Golden Section ErikCuevas.html LuisEnriquez.html DanielZaldivar.html MarcoPerez-Cisneros.html
42. 1 DANGELO:2020:FGCS Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems GianniD'Angelo.html FrancescoPalmieri.html
43. 33 DASHTI:2023:seppur Biochar performance evaluation for heavy metals removal from industrial wastewater based on machine learning: Application for environmental protection AmirDashti.html MojtabaRaji.html HosseinRiasatHarami.html JohnLZhou.html MortezaAsghari.html
44. 1 dautenhahn:2002:GPEM Book Review: Swarm Intelligence KerstinDautenhahn.html
45. 1 deCarvalho:2011:ieeeTKDE A Genetic Programming Approach to Record Deduplication MoisesGdeCarvalho.html AlbertoHFLaender.html MarcosAndreGoncalves.html AltigranSdaSilva.html
46. 1 deLima:2022:GECCO Lexi2: Lexicase Selection with Lexicographic Parsimony Pressure AllanDanilodeLima.html SamuelCarvalho.html DouglasMotaDias.html EnriqueNaredo.html JoeSullivan.html ConorRyan.html
47. 2 Dempster:2000:QF A real-time adaptive trading system using genetic programming MichaelDempster.html ChrisMJones.html
48. 1 Dempster:2001:trading Computational learning techniques for intraday FX trading using popular technical indicators MichaelDempster.html TomWPayne.html YazannRomahi.html GilesWPThompson.html
49. 1 deng:2023:GECCOcomp Learning Behavior Trees by Evolution-Inspired Approaches ChuanshuaiDeng.html ChenjingZhao.html ZhenghuiLiu.html JiexinZhang.html YunlongWu.html YanzhenWang.html HongCheng.html XiaodongYi.html
50. 1 Deschaine:2008:GPEM Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence, Springer, 2008, 322 pp, ISBN 978-3-540-75770-2 LarryMDeschaine.html
51. 1 dolin:2002:GPEM Resource Review: A Web-Based Tour of Genetic Programming BradDolin.html JuanJulianMerelo.html
52. 1 Dolson:2022:GPEM Book Review: the evolution of complexity EmilyDolson.html
53. 1 doValleSimoes_2007_GPEM Evolvable hardware, Springer, Genetic and Evolutionary Computation Series, edited by Tetsuya Higuchi, Yong Liu and Xin Yao, 224 pp, ISBN 0-387-24386-0 EduardodoValleSimoes.html
54. 1 Downing:GPEM:review Alain Petrowski and Sana Ben-Hamida: Evolutionary Algorithms KeithLDowning.html
55. 19 Durasevic:2016:ASC Adaptive scheduling on unrelated machines with genetic programming MarkoDurasevic.html DomagojJakobovic.html KarloKnezevic.html
56. 2 Easton:2021:evomusart Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks EdwardEaston.html AnikoEkart.html UlyssesBernardet.html
57. 19 Easton:2024:evomusart Modelling Individual Aesthetic Preferences of 3D Sculptures EdwardEaston.html UlyssesBernardet.html AnikoEkart.html
58. 1 ebner:2003:GPEM Book Review: Illustrating Evolutionary Computation with Mathematica MarcEbner.html
59. 1 edmonds:2000:aigp A Review of the ``Advances in Genetic Programming'' Series (Volumes 1, 2 and 3) BruceEdmonds.html
60. 1 Eggermont:2009:GPEM Juan Romero and Penousal Machado (eds): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music Natural Computing Series, Springer Science+Business Media, 2008, 460 pp, 169 illustrations, 91 in colour, Hard Cover with DVD, ISBN: 978-3-540-72876-4 JeroenEggermont.html
61. 1 Elyasaf:2014:GPEM Software review: the HeuristicLab framework AchiyaElyasaf.html MosheSipper.html
62. 3 Estevez:2008:GPEM Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation PabloAEstevez.html
63. 1 Fan:2010:ICNC The application of Empirical Mode Decomposition and Gene Expression Programming to short-term load forecasting XinqiaoFan.html YongliZhu.html
64. 1 folino:2001:TAI Parallel genetic programming for decision tree induction GianluigiFolino.html ClaraPizzuti.html GiandomenicoSpezzano.html
65. 1 fong:2023:GECCOcomp Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability KeiSenFong.html ShelviaWongso.html MehulMotani.html
66. 1 fonlupt:2005:GPEM Book Review: Genetic Programming IV: Routine Human-Competitive Machine Intelligence CyrilFonlupt.html
67. 1 freitas:2001:GPEM Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications AlexAlvesFreitas.html
68. 2 Gagne:2006:IJAIT Genericity in Evolutionary Computation Software Tools: Principles and Case Study ChristianGagne.html MarcParizeau.html
69. 1 Gandomi:GPEM:GPTIPS Software review: the GPTIPS platform AHGandomi.html EhsanAtefi.html
70. 5 gang:2004:eurogp How to Choose Appropriate Function Sets for GP GangWang.html TerenceSoule.html
71. 1 Garcia:2017:GECCO Investigating Coevolutionary Archive Based Genetic Algorithms on Cyber Defense Networks DennisGarcia.html AnthonyErbLugo.html ErikHemberg.html Una-MayO'Reilly.html
72. 1 Garcia-Sanchez:2019:GPEM Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games PabloGarcia-Sanchez.html
73. 1 Garibay:2010:GPEM Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies IvanGaribay.html
74. 1 Georgiou:2006:10WSEAS jGE - A Java implementation of Grammatical Evolution LoukasGeorgiou.html WilliamJTeahan.html
75. 1 Georgiou:2006:WSEAS Implications of Prior Knowledge and Population Thinking in Grammatical Evolution: Toward a Knowledge Sharing Architecture LoukasGeorgiou.html WilliamJTeahan.html
76. 1 Georgiou:2010:ICEC Grammatical Evolution and the Santa Fe Trail Problem LoukasGeorgiou.html WilliamJTeahan.html
77. 1 GeyerSchulz96e Compound Derivations in Fuzzy Genetic Programming AndreasGeyer-Schulz.html
78. 4 Giustolisi:2009:JH Advances in data-driven analyses and modelling using EPR-MOGA OrazioGiustolisi.html DraganSavic.html
79. 1 Gold:GPEM Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way NicolasEGold.html
80. 1 gomi:2003:GPEM Book Review: Evolutionary Robotics: the Biology, Intelligence, and Technology of Self-Organizing Machines TakashiGomi.html
81. GonzalezTaboada:2016:CBM Prediction of the mechanical properties of structural recycled concrete using multivariable regression and genetic programming IrisGonzalez-Taboada.html BelenGonzalez-Fonteboa.html FernandoMartinezAbella.html JuanLuisPerez.html
82. 1 Gosling:2012:GPEM Moshe Sipper: Evolved to Win TimothyGosling.html
83. 1 1277011 Stochastic training of a biologically plausible spino-neuromuscular system model StanleyPhillipsGotshall.html TerenceSoule.html
84. 1 greenwood:2001:bicm Book Review: Bio-Inspired Computing Machines: Towards Novel Computational Architectures GarrisonWGreenwood.html
85. 1 Hall:thesis Improving Software Remodularisation MathewHall.html
86. 1 Harrington:2016:GPEM Wolfgang Banzhaf and Lidia Yamamoto: Artificial Chemistries, MIT Press, 2015 KyleIraHarrington.html
87. 1 hatanaka:2001:hmimbgp Hammerstein Model Identification Method Based on Genetic Programming ToshiharuHatanaka.html KatsujiUosaki.html
88. 1 he:2022:GECCO Taylor Genetic Programming for Symbolic Regression BaiheHe.html QiangLu.html QingyunYang.html JakeLuo.html ZhiguangWang.html
89. 1 Heaton:GPEM:deep_learning Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning JeffHeaton.html
90. 1 1274014 An evolutionary platform for developing next-generation electronic circuits JamesAHilder.html AndrewMTyrrell.html
91. 1 hirasawa:2001:cgnpgp Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP) KotaroHirasawa.html MasafumiOkubo.html JingluHu.html JunichiMurata.html
92. 1 Hoang:2011:ieeeTEC On Synergistic Interactions Between Evolution, Development and Layered Learning Tuan-HaoHoang.html RI_Bob_McKay.html DarylEssam.html NguyenXuanHoai.html
93. 1 hondo:1996:srrs Sharing and Refinement for Reusable Subroutines of Genetic Programming NaohiroHondo.html HitoshiIba.html YukinoriKakazu.html
94. 1 hu2:2002:gecco Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming JianjunHu.html KisungSeo.html ShaoboLi.html ZhunFan.html RonaldCRosenberg.html ErikGoodman.html
95. 17 hu:2002:gecco Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms JianjunHu.html ErikGoodman.html KisungSeo.html MinPei.html
96. 2 Huang:2007:ESA Credit scoring with a data mining approach based on support vector machines Cheng-LungHuang.html Mu-ChenChen.html Chieh-Jen_Steve_Wang.html
97. 1 Javed:2022:DMKD Simplification of genetic programs: a literature survey NomanJaved.html FernandGobet.html PeterCRLane.html
98. 24 Jeyakarthic:2023:ICAIS Genetic Programming with Dynamic Bayesian Network based Credit Risk Assessment Model MJeyakarthic.html RRamesh.html
99. 1 Jha:2015:MMP Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies RajeshJha.html FrankPettersson.html GeorgeSDulikravich.html HenrikSaxen.html NChakrabortic.html
100. 2 Johanson98 GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters BradleyEJohanson.html RiccardoPoli.html
101. 1 Kaboudan:2006:GPEM Biologically Inspired Algorithms for Financial Modelling Published by: Springer, A. Brabazon and M. O'Neill, 2006, ISBN 3-540-26252-0, \$85 MahmoudAKaboudan.html
102. 3 Kazemi:thesis Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants PezhmanKazemi.html
103. 1 Kennedy:2007:GPEM Review of Engelbrecht's Fundamentals of Computational Swarm Intelligence JamesKennedy.html
104. 6 icinco2011-khan Developmental Plasticity in Cartesian Genetic Programming based Neural Networks MaryamMahsalKhan.html GulMuhammadKhan.html JulianFMiller.html
105. 20 Khan:2022:ICAI COVID-19 Spread Prediction and Its Impact on the Stock market price MusaKhan.html GulMuhammadKhan.html
106. 1 Kim:2019:GPEM Software review: DEAP (Distributed Evolutionary Algorithm in Python) library JinhanKim.html ShinYoo.html
107. 21 komai:2022:AS Human Randomness in the Rock-Paper-Scissors Game TakahiroKomai.html HiroakiKurokawa.html Song-JuKim.html
108. 10 koppen:1996:dixaGP Design of Image Exploring Agent using Genetic Programming MarioKoppen.html BertramNickolay.html
109. 1 korkmaz:cgpa A Controlled Genetic Programming Approach for the Deceptive Domain ErkanKorkmaz.html GokturkUcoluk.html
110. 3 Koza91 Genetic Generation of Both the Weights and Architecture for a Neural Network JohnKoza.html JamesPRice.html
111. 3 koza:gp96 Genetic Programming 1996: Proceedings of the First Annual Conference JohnKoza.html DavidEGoldberg.html DavidBFogel.html RickLRiolo.html
112. 2 krawiec:2001:IPC Evolutionary Computation Framework for Learning from Visual Examples KrzysztofKrawiec.html
113. 25 Kronberger:2024:SymbolicRegression Symbolic Regression GabrielKronberger.html BogdanBurlacu.html MichaelKommenda.html StephanMWinkler.html MichaelAffenzeller.html
114. 1 Kumar2:2008:gecco Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming RajeevKumar.html AshwinHJoshi.html KrishnaKBanka.html PeterIRockett.html
115. 1 Landa-Silva:2013:GPEM Franz Rothlauf: Design of Modern Heuristics DarioLanda-Silva.html
116. 1 langdon:1999:sptfs Scaling of Program Tree Fitness Spaces WilliamBLangdon.html
117. 1 langdon:2000:gpembooks Genetic Programming and Evolvable Machines: Books and other Resources WilliamBLangdon.html
118. 1 langdon:2005:gpembooks Genetic Programming and Evolvable Machines: Five years of Reviews WilliamBLangdon.html StevenMGustafson.html
119. 1 Langdon:2013:ieeeTEC Optimising Existing Software with Genetic Programming WilliamBLangdon.html MarkHarman.html
120. 2 langdon:2024:GI Deep Mutations have Little Impact WilliamBLangdon.html DavidClark.html
121. 12 langham:1999:AMPAFEMCAC A Multilevel k-way Partitioning Algorithm for Finite Element Meshes using Competing Ant Colonies AELangham.html PhilWGrant.html
122. 1 LeBaron:2012:GPEM Alma Lilia Garcia Almanza, and Edward Tsang: Evolutionary applications for financial prediction: classification methods to gather patterns using genetic programming BlakeLeBaron.html
123. 1 Leguizamon:2011:GPEM Arthur K. Kordon: Applying computational intelligence: how to create value, Springer, 2009, Hardcover, 459 pages, ISBN: 978-3-540-69910-1 GuillermoLeguizamon.html
124. 1 competition_level_code_generation_with_alphacode Competition-Level Code Generation with AlphaCode YujiaLi.html DavidChoi.html JunyoungChung.html NateKushman.html JulianSchrittwieser.html RemiLeblond.html TomEccles.html JamesKeeling.html FelixGimeno.html AgustinDalLago.html ThomasHubert.html PeterChoy.html CypriendeMassond'Autume.html IgorBabuschkin.html XinyunChen.html Po-SenHuang.html JohannesWelbl.html SvenGowal.html AlexeyCherepanov.html JamesMolloy.html DanielJMankowitz.html EsmeSutherlandRobson.html PushmeetKohli.html NandodeFreitas.html KorayKavukcuoglu.html OriolVinyals.html
125. 1 Liang:2024:GPEM Architecture search of accurate and lightweight CNNs using genetic algorithm JiayuLiang.html HanqiCao.html YaxinLu.html MingmingSu.html
126. 10 Liao:2024:GECCO Learning Traffic Signal Control via Genetic Programming Xiao-ChengLiao.html YiMei.html MengjieZhang.html
127. Liao:CSS Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic Xiao-ChengLiao.html Ya-HuiJia.html Xiao-MinHu.html Wei-NengChen.html
128. 1 Liu:2010:ICNC A gene expression programming algorithm for multiobjective site-search problem MengweiLiu.html XiaLi.html TaoLiu.html DanLi.html ZhengLin.html
129. 1 Loiacono:2014:GPEM Gene I. Sher: Handbook of neuroevolution through Erlang DanieleLoiacono.html
130. 1 Lones:2011:GPEM Sean Luke: essentials of metaheuristics MichaelALones.html
131. 1 lu:2003:dnfoniugp Detecting new forms of network intrusion using genetic programming WeiLu.html IssaTraore.html
132. 1 Ludwig:2016:GPEM Anthony Brabazon, Michael O'Neill, Sean McGarraghy: Natural computing algorithms Springer, 2015, 554 pp, ISBN: 978-3-662-43631-8 SimoneALudwig.html
133. 2 luke:1997:ccmGP A Comparison of Crossover and Mutation in Genetic Programming SeanLuke.html LeeSpector.html
134. 3 Lundh:2007:GPEM Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhauser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: \$89.95 TorbjornLundh.html
135. 1 Lutton:2017:GPEM Gustavo Olague: Evolutionary computer vision, the first footprints EvelyneLutton.html
136. 3 Macedo:2018:EuroGP Geometric Crossover in Syntactic Space JoaoMacedo.html CarlosMFonseca.html ErnestoCosta.html
137. 3 ijcai2024coin From Pixels to Metal: AI-Empowered Numismatic Art PenousalMachado.html TiagoMartins.html JoaoNunoGoncalvesCostaCavaleiroCorreia.html LuisEspiritoSanto.html NunoLourenco.html JoaoMiguelCunha.html SergioMRebelo.html PedroMartins.html JoaoBicker.html
138. 1 Harman:2002:GPEM Book Review: Automatic Re-Engineering of Software Using Genetic Programming KiarashMahdavi.html MarkHarman.html
139. 9 Maliukov:2024:GECCOcomp Evolving Assembly Code in an Adversarial Environment IrinaMaliukov.html GeraWeiss.html OdedMargalit.html AchiyaElyasaf.html
140. 1 oai:CiteSeerPSU:544306 Genetic programming for real world robot vision MartinCMartin.html
141. 1 Masood:thesis Many-Objective Genetic Programming for Job-Shop Scheduling AtiyaMasood.html
142. 2 McConaghy:2009:GPTP Latent Variable Symbolic Regression for High-Dimensional Inputs TrentMcConaghy.html
143. 2 Medjdoub:2011:GPEM Paul Coates: Programming architecture, Routlegde, 187 pp, ISBN: 978-0-415-45188-8 BenachirMedjdoub.html
144. 1 Meeden:2015:GPEM Angelo Cangelosi and Matthew Schlesinger: Developmental robotics MIT Press, 2015 LisaAMeeden.html
145. 1 Meng:2023:jBO Mapping variation of extracellular matrix in human keloid scar by label-free multiphoton imaging and machine learning JiaMeng.html GuangxingWang.html LingxiZhou.html ShenyiJiang.html ShuhaoQian.html LingmeiChen.html ChunchengWang.html RushanJiang.html ChenYang.html BoNiu.html YijieLiu.html ZhihuaDing.html ShuangmuZhuo.html ZhiyiLiu.html
146. 5 DBLP:journals/soco/VK20 Generating trading rules on US Stock Market using strongly typed genetic programming KevinMichell.html WernerKristjanpoller.html
147. 1 Milone_2007_GPEM Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation, Springer Science, New York, N. Nikolaev and H. Iba, 2006, Vol. XIV, 316 pp, ISBN 0:387-31239-0 DiegoHMilone.html
148. 18 Mora:2010:ijcnn Applying support vector machines and mutual information to book losses prediction AntonioMMoraGarcia.html LuisJavierHerreraMaldonado.html JoseMiguelUrquizaOrtiz.html IgnacioRojasRuiz.html JuanJulianMerelo.html
149. 4 Murphy:2024:GGP Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting JaredMurphy.html TravisDesell.html
150. 1 Nakatsu:mastersthesis Genetic programming applications in electromagnetics JillSKNakatsu.html
151. 1 Naseer:2015:SECon Designing energy-efficient approximate adders using parallel genetic algorithms AdnanAquibNaseer.html RizwanAAshraf.html DamianDechev.html RonaldFDeMara.html
152. 1 Neumann:2011:GPTP Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions FrankNeumann.html Una-MayO'Reilly.html MarkusWagner.html
153. 1 Nichele:GPEM:bookreview Tim Taylor and Alan Dorin: Rise of the self-replicators, early visions of machines, AI and robots that can reproduce and evolve StefanoNichele.html
154. 1 ieee-nn:Nikolaev+Iba:2003 Learning polynomial feedforward neural networks by genetic programming and backpropagation NikolayNikolaev.html HitoshiIba.html
155. 1 Nishiwaki:2015:JRNAL On the Effects of Epigenetic Programming on the Efficiency of Incremental Evolution of the Simulated Khepera Robot YasutoNishiwaki.html NaokiMukosaka.html IvanTTanev.html KatsunoriShimohara.html
156. 1 nordin:1999:AP AIM-GP and Parallelism PeterNordin.html FrankHoffmann.html FrankDFrancone.html MarkusBrameier.html WolfgangBanzhaf.html
157. 1 Nowakova2013245 Fuzzy linear regression analysis JanaNowakova.html MiroslavPokorny.html
158. 1 OHagan:2015:GPEM Software review: the KNIME workflow environment and its applications in genetic programming and machine learning SteveO'Hagan.html DouglasBKell.html
159. 1 oliveira2:2001:gecco Using Heuristics Related to Cellular Automata Behavior Forecast to Improve Genetic Search for a Grouping Task GinaMairaBarbosadeOliveira.html PedroPauloBalbideOliveira.html NizamOmar.html
160. 1 ONeill:2009:GPEM Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming Lulu.com, 2008, 250 pp, ISBN 978-1-4092-0073-4 MichaelO'Neill.html
161. 1 par-comp:96 Parallel Genetic Programming and its application to trading model induction MouloudOussaidene.html BastienChopard.html OlivierVPictet.html MarcoTomassini.html
162. 1 Ozman:2012:GPEM W. Brian Arthur: The nature of technology: what it is and how it evolves MugeOzman.html
163. 1 Pappa:2009:GPEM Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications GiseleLPappa.html
164. 1 Pappa:2015:GECCOcomp GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation GiseleLPappa.html AnabelaSimoes.html DirkSudholt.html WilliamBLangdon.html DavidRobertWhite.html JustynaPetke.html FrankWilliamMoore.html NurZincir-Heywood.html JoseSantosReyes.html JuliaHandl.html AmardaShehu.html DavidWalker.html RichardEverson.html JonathanEFieldsend.html KarthikKuber.html MasayaNakata.html KamranShafi.html JohnRWoodward.html DanielRTauritz.html ManuelLopez-Ibanez.html StefanWagner.html MichaelAffenzeller.html YouheiAkimoto.html AnneAuger.html DimoBrockhoff.html NikolausHansen.html OlafMersmann.html PetrPosik.html TeaTusar.html BorisNaujoks.html AbrahamPrieto.html NicolasBredeche.html EvertHaasdijk.html ChrisSimons.html JerrySwan.html KrzysztofKrawiec.html JamesSmith.html ColinGJohnson.html AlbertoMoraglio.html MichaelO'Neill.html StephenLSmith.html StefanoCagnoni.html RobertMPatton.html
165. 1 ieee94:perkis Stack-Based Genetic Programming TimPerkis.html
166. 1 Petrovic:2009:ieeeIP Universal Impulse Noise Filter Based on Genetic Programming NemanjaPetrovic.html VladimirCrnojevic.html
167. 7 POGGI:2021:AST Surrogate models for predicting noise emission and aerodynamic performance of propellers CaterinaPoggi.html MonicaRossetti.html GiovanniBernardini.html UmbertoIemma.html CristianoAndolfi.html ChristianMilano.html MassimoGennaretti.html
168. 1 Popyack:2016:GPEM Gusz Eiben and Jim Smith: Introduction to evolutionary computing (second edition) Springer, 2015, 299 pp, ISBN: 978-3-662-44874-8 JeffreyLPopyack.html
169. 1 povinelli:2004:GPEM Book Review: Foundations of Genetic Programming RichardJPovinelli.html
170. 3 punch:2001:GPEM Book Review: Genetic Programming--An Introduction: On the Automatic Evolution of Computer Programs and Its Applications WilliamFPunch.html
171. 1 QUADE:2020:PDNP Machine learning control - explainable and analyzable methods MarkusQuade.html ThomasIsele.html MarkusWAbel.html
172. 1 randall:2022:SymReg Bingo: A Customizable Framework for Symbolic Regression with Genetic Programming DavidLRandall.html TylerSTownsend.html JacobDeanHochhalter.html GeoffreyFBomarito.html
173. 1 ReformatCM03 Experiments in Automatic Programming for General Purposes MarekReformat.html XinweiChai.html JamesMiller.html
174. 1 FULL_THESIS_MRezania2008 Evolutionary Polynomial Regression Based Constitutive Modelling and Incorporation in Finite Element Analysis MohammadRezania.html
175. 1 Rieffel:2011:GPEM Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach, Springer, 2009, ISBN 978-90-481-2905-8 JohnRieffel.html
176. 1 Robilliard:2013:GPEM John H. Holland: Signals and boundaries: building blocks for complex adaptive systems DenisRobilliard.html
177. 24 rogers:2023:ACIVS Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging MitchellRogers.html IgorDebski.html JohannesFischer.html PeterMcComb.html PeterGHFrost.html BingXue.html MengjieZhang.html PatriceDelmas.html
178. 1 WSEAS_469-162 Statistical analysis of intelligent classifier on breast cancer data IgnacioRojasRuiz.html OValenzuela.html LMarquez.html PasadasPasadas.html
179. 6 rosca:2000:gecco99 Remembering GECCO-99 -- A Short Summary JustinianRosca.html
180. 1 Ruiz-Ortega:2024:SciRep An evolutionary parsimonious approach to estimate daily reference evapotranspiration FranciscoJavierRuizOrtega.html EddieHelbertClementeTorres.html AliciaMartinezRebollar.html JoseJassonFloresPrieto.html
181. 1 ryan:2000:gp3 Book Review: Genetic Programming 3: Darwinian Invention and Problem Solving ConorRyan.html
182. 1 Sa:2008:gecco Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation LeonardoBrunodeSa.html AntonioCarneirodeMesquitaFilho.html
183. 1 Sarmiento:2024:GI Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images RicardoSarmiento.html MarinadelaCruzEcheandia.html AlfonsoOrtegadelaPuente.html TerrenceMGirard.html DanaICasetti-Dinescu.html AlejandroCervantes.html RobertoBaena-Galle.html
184. 2 Shir:GPEM:hybridMH Christian Blum and G\"unther R. Raidl: Hybrid metaheuristics---powerful tools for optimization OferMShir.html
185. 1 1277290 Graph structured program evolution ShinichiShirakawa.html ShintaroOgino.html TomoharuNagao.html
186. 1 Shirakawa:2008:geccocomp Evolutionary algorithm considering program size: efficient program evolution using grape ShinichiShirakawa.html TomoharuNagao.html
187. 1 Sivapragasam2007266 Genetic programming model for forecast of short and noisy data CSivapragasam.html PVincent.html GVasudevan.html
188. 1 Smid:thesis Computational Intelligence Methods in Metalearning JakubSmid.html
189. 1 1277291 Improving the human readability of features constructed by genetic programming MatthewGSmith.html LarryBull.html
190. 1 Sobester:2008:TEC Genetic Programming Approaches for Solving Elliptic Partial Differential Equations AndrasSobester.html PrasanthBNair.html AndyJKeane.html
191. 1 song:2005:TEC Training genetic programming on half a million patterns: an example from anomaly detection DongSong.html MalcolmHeywood.html NurZincir-Heywood.html
192. 1 soule:1998:rbias Removal Bias: a New Cause of Code Growth in Tree Based Evolutionary Programming TerenceSoule.html JamesAFoster.html
193. 4 spector:2002:GPEMr Book Review: The Quest for the Quantum Computer LeeSpector.html
194. 10 Squillero:2024:GGP Byron: A Fuzzer for Turing-complete Test Programs GiovanniSquillero.html AlbertoTonda.html DimitriMasetta.html MarcoSacchet.html
195. 1 Suganuma:thesis A Study on Salient Event Detection in Videos MasanoriSuganuma.html
196. 1 oai:inderscience.com:7267 Managing information complexity of supply chains via agent-based genetic programming KenTaniguchi.html TakaoTerano.html
197. 1 taylor:2001:sasgsam Spectral Analysis via Supervised Genetic Search with Application-specific Mutations JanetTaylor.html JemJRowland.html DouglasBKell.html
198. 8 Tchernev:gecco05lbp Queue-based Genetic Programming ElkoTchernev.html DhananjaySPhatak.html
199. 8 Teller-ICEC-95 Algorithm Evolution for Face Recognition: What Makes a Picture Difficult AstroTeller.html ManuelaVeloso.html
200. 1 Tonda:GPEM:Inspyred Inspyred: Bio-inspired algorithms in Python AlbertoTonda.html
201. 4 toulouse:2006:GPEM Book-Review: Automatic Quantum Computer Programming: A Genetic Programming Approach MichelToulouse.html
202. 1 Trefzer:2011:GPEM Justin Lee: Morphogenetic Evolvable Hardware VDM, 2008, ISBN 978-3-639-05716-4 MartinATrefzer.html
203. 1 Trotman2005_Article_LearningToRank Learning to Rank AndrewTrotman.html
204. 2 Trujillo:2015:GPEM Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective LeonardoTrujillo.html
205. 1 Uesaka:2003:CS Evolutionary synthesis of digital filter structures using genetic programming KazuyoshiUesaka.html MasayukiKawamata.html
206. 1 Ulloa-Cazarez:GPEM Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence RosaLeonorUlloa-Cazarez.html
207. 2 Vanyi:2008:GPEM Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution, MIT Press, Vienna Series in Theoretical Biology, Vol. 6, Richard A. Watson, 2006, 300 p., Hardcover, ISBN 0-262-23243-X RobertVanyi.html
208. 1 Veeramachaneni:2011:GPEM Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning CRC Press, 327 pp, ISBN: 978-1-4398-0369-1 KalyanVeeramachaneni.html
209. 1 Vidnerova:GPEM Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks PetraVidnerova.html
210. 20 Vijayaraghavan:2016:JCP A finite element based data analytics approach for modeling turning process of Inconel 718 alloys VenkateshVijayaraghavan.html AkhilGarg.html LiangGao.html RVijayaraghavan.html GuoxingLu.html
211. 1 Vu2021_Article_SoftwareReviewPonyGE2 Software review: Pony GE2 TuongManhVu.html
212. 1 Weimer:2013:SSBSE Advances in Automated Program Repair and a Call to Arms WestleyWeimer.html
213. 1 whigham:2001:edc Book Review: Evolutionary Design by Computers PeterAlexanderWhigham.html
214. 2 White:2011:GPEM Software review: the ECJ toolkit DavidRobertWhite.html
215. 2 1068096 Investigating the success of spatial coevolution NathanWilliams.html MelanieMitchell.html
216. 1 wilson:2004:GPEM Resource Review: Three Open Source Systems for Evolving Programs--Lilgp, ECJ and Grammatical Evolution GarnettCarlWilson.html AndrewRMcIntyre.html MalcolmHeywood.html
217. 1 Woodward:2011:GPEM Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach, Springer, 187 pages, ISBN-13: 978-3642025402 JohnRWoodward.html
218. 1 Xue:GPEM:bookreview Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms BingXue.html
219. 1 Yim:2012:ICCAS Evolving internal memory strategies for the woods problems HyunguYim.html DaeEunKim.html
220. 2 Yoo:2024:GI Executing One's Way out of the Chinese Room ShinYoo.html
221. 1 Zarges:GPEM:diverless Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead ChristineZarges.html
222. 6 Zhang:2022:ICKES Algorithm Construction of Artificial Intelligence Expression Programming in Complex Function Polymorphism Modeling JingZhang.html ChengWan.html
223. 3 Zhao:thesis Nanocomposites Reinforced with 3D Graphene: From Atomistic Simulation to Continuum Modelling ShaoyuZhao.html

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