Changes to Genetic Programing Bibliography since 2026/01/07

New and modified entries

New

  1. anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
  2. berghegger:2026:EuroGP Using Monte Carlo Tree Search to Enhance Search Space Exploration in Cartesian Genetic Programming ChristinaBerghegger.html CamiloDeLaTorre.html SylvainCussat-Blanc.html YuriLavinas.html DavidSimoncini.html
  3. bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
  4. Bi:2025:TGRS A Two-Stage Genetic Programming Approach to Feature Construction and Ensemble Evolving for Road Extraction From Remote Sensing Images YingBi.html YaxinChang.html JingLiang.html CaitongYue.html BoyangQu.html MengnanLiu.html
  5. briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
  6. de-la-torre:2026:EuroGP A Comparative Study on Robustness in Evolved Image Classifiers CamiloDeLaTorre.html StephaneTreillard.html CamilleFranchet.html HerveLuga.html DennisGWilson.html SylvainCussat-Blanc.html
  7. de-Vries:2026:GPEM Discovering continuous-time memory-based symbolic policies using genetic programming SigurdeVries.html SanderWKeemink.html MarcelvanGerven.html
  8. Dong:2026:GPEM An enhanced genetic programming algorithm with new genetic operators for medical image classification LinDong.html YingBi.html BingXue.html MengjieZhang.html
  9. farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
  10. Fernandez:2020:beacon Doing Research at the Intersection of Arts and Science FranciscoFernandezdeVega.html
  11. Fernandez-Oliva:2016:II Generacion de combinaciones de valores de pruebas utilizando metaheuristicas PerlaBeatrizFernandezOliva.html WilliamCantilloTerrero.html MarthaDuniaDelgadoDapena.html AlejandroRoseteSuarez.html CornelioYanezMarquez.html
  12. Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  13. Gascon-Enriquez:2023:RCCI Metodo para la construccion de funciones booleanas, su implementacion en el lenguaje de programacion R OsvaldoJoseGasconEnriquez.html GonzaloJuanPalenciaFernandez.html YunierEmilioTejedaRodriguez.html OristelaCuellarJustiz.html
  14. hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
  15. kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
  16. kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
  17. lavinas:2026:EuroGP Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP YuriLavinas.html NathanielHaut.html SylvainCussat-Blanc.html WolfgangBanzhaf.html
  18. Liu:2025:UPEC Novel Forecasting for Photovoltaic Installation Output Using Transfer Learning Genetic Programming YilinLiu.html DaniilHulak.html ZhengwenHuang.html GarethATaylor.html
  19. Liu:2025:researchsquare Semantic Valued Schema Theory of Genetic Programming in Symbolic Regression YilinLiu.html ZhengwenHuang.html
  20. Lohn:2010:nasaTB Computer-Automated Evolution of Spacecraft X-Band Antennas JasonLohn.html GregorySHornby.html DerekSLinden.html
  21. Majid:2016:LAP Optimization of Classifiers using Genetic Programming: Developing Optimal Composite Classifiers using Genetic Programming for Pattern Classification problems AbdulMajid.html
  22. Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
  23. Martinez:2013:IYU A modification of the methodology of symbolic regression for time series prediction CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
  24. Miralavy:2026:GPEM Analyzing the impact of space in evolving spatially represented genetic programming models IliyaMiralavy.html WolfgangBanzhaf.html
  25. miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
  26. nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
  27. naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
  28. pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaPereira.html LeonardoVanneschi.html
  29. Pichardo:2020:SIMMAC Genetic programming to obtain mathematical models from turbine data using symbolic regression RomeroPichardo.html ErickJacob.html
  30. doktorski_rad_lucija_planinic_uvez-pdf-a Improving automated design of dispatching rules in the unrelated machines environment LucijaPlaninic.html
  31. Prabhu_Seals_Kyberd_Wetherall_2018 A survey on evolutionary-aided design in robotics ShankerGRadhakrishnaPrabhu.html RichardCSeals.html PeterJKyberd.html JodieCWetherall.html
  32. ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  33. Rocha:2024:LAJC Classification of Failure Using Decision Trees Induced by Genetic Programming RogerioCostaNegroRocha.html LaercioIvesSantos.html RafaelAlmeidaSoares.html FrancieleAlvesBarbosa.html MarcosFlavioSilveiraVasconcelosD'Angelo.html
  34. silva:2026:EuroGP Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression GorkaSilva.html LachlanStewart.html IllyaBakurov.html MauroCastelli.html DavideFarinati.html JoseManuelMunozContreras.html LeonardoTrujillo.html LeonardoVanneschi.html
  35. stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
  36. evotorch2023arxiv EvoTorch: Scalable Evolutionary Computation in Python NihatEnginToklu.html TimothyAtkinson.html VojtechMicka.html PawelLiskowski.html RupeshKumarSrivastava.html
  37. vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
  38. Vera-Rivera:thesis Modelo Inteligente de Especificacion de la Granularidad de Aplicaciones Basadas en Microservicios FredyHVera-Rivera.html
  39. Mar___Thesis Automated Software Transplantation for Procedural Content Generation MarZamoranoLopez.html
  40. zhang:2026:EuroGP Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression JiayuZhang.html QiChen.html BingXue.html MengjieZhang.html

Modified

  1. 25 journals/ijprai/Acosta-MendozaMEA14 Learning to Assemble Classifiers via Genetic Programming NiusvelAcosta-Mendoza.html AliciaMorales-Reyes.html HugoJairEscalante.html AndresGagoAlonso.html
  2. 1 ADEGBOYE:2021:ESA Machine learning classification and regression models for predicting directional changes trend reversal in FX markets AdesolaNoahAdegboye.html MichaelKampouridis.html
  3. 2 Hernandez-Albarracin:thesis On the spatial dilemma linking deep reenactment and learning from disentangled representations in video JuanFelipeHernandezAlbarracin.html
  4. 1 alharthi:2025:EuroGP Ghost Swarms: Learning Swarm Rules from Environmental Changes Alone KhuludAlharthi.html SZahraaAbdallah.html SabineHauert.html
  5. rimas:2024:CEC Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
  6. rimas:2024:AI Importance-Based Pruning for Genetic Programming Based Symbolic Regression MohamadRimasMohamadAnfar.html QiChen.html MengjieZhang.html
  7. 6 Augustsson:2002:gecco Creation Of A Learning, Flying Robot By Means Of Evolution PeterAugustsson.html KristerWolff.html PeterNordin.html
  8. 1 Genmorph_TSE_2024 GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming JonAyerdi.html ValerioTerragni.html GunelJahangirova.html AitorArrieta.html PaoloTonella.html
  9. 13 oai:CiteSeerPSU:316448 Modeling Of Mechanical Parts Compositions Using Genetic Programming JozeBalic.html MiranBrezocnik.html FranciCus.html
  10. 1 Baptist:2007:JHR On inducing equations for vegetation resistance MartinJBaptist.html VladanBabovic.html JavierRodriguezUthurburu.html MaartenKeijzer.html RobUittenbogaard.html ArthurMynett.html AdriVerwey.html
  11. 40 BEHBAHANI:2020:CBM Predictive model of modified asphalt mixtures with nano hydrated lime to increase resistance to moisture and fatigue damages by the use of deicing agents HamidBehbahani.html GholamHosseinHamedi.html VahidNajafiMoghaddamGilani.html
  12. 25 DBLP:conf/mod/SilvaSB19 Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits JoseEduardoHenriquesdaSilva.html LucasAugustoMullerdeSouza.html HederSoaresBernardino.html
  13. 1 de-vries:2025:GECCOcomp Kozax: Flexible and Scalable Genetic Programming in JAX SigurdeVries.html SanderWKeemink.html MarcelvanGerven.html
  14. 1 deFreitas:2014:CILAMCE Aplica\cc\~ao de uma programa\cc\~ao gen\'etica gramatical na infer\^encia da m\'axima deforma\cc\~ao longitudinal de dutos com amassamento JoaoMarcosdeFreitas.html MarcusViniciusSilva.html HederSoaresBernardino.html JoaoNisanCorreiaGuerreiro.html HelioJCBarbosa.html
  15. 33 DBLP:journals/cys/DelAngelSIRB24 A Linear Genetic Programming Approach for the Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U) JazminSalasDelAngel.html AlejandroSantiago.html SalvadorIbarra-Martinez.html JoseAntonioCastanRocha.html MayraGuadalupeTrevinoBerrones.html
  16. 3 Dinh:thesis Mathematical modelling of the floral transition Jean-LouisDinh.html
  17. 34 DURASEVIC:2023:engappai Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment MarkoDurasevic.html FranciscoJavierGilGala.html LucijaPlaninic.html DomagojJakobovic.html
  18. 8 Durasevic:2024:EA Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html NikolinaFrid.html FranciscoJavierGilGala.html
  19. 3 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
  20. 39 ELLIOTT:2018:EE Stormwater infiltration capacity of street tree pits: Quantifying the influence of different design and management strategies in New York City RobertMElliott.html ElizabethRAdkins.html PatriciaJCulligan.html MatthewIPalmer.html
  21. 11 Ferrari2022 Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art DavideFerrari.html VeronicaGuidetti.html VasaCurcin.html YanzhongWang.html
  22. 10 banzhaf:1997:emvsea On some emergent properties of variable size evolutionary algorithms WolfgangBanzhaf.html FrankDFrancone.html PeterNordin.html
  23. 9 banzhaf:1997:wiGPge Why introns in genetic programming grow exponentially WolfgangBanzhaf.html PeterNordin.html FrankDFrancone.html
  24. 2 francone:ebdo Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming FrankDFrancone.html LarryMDeschaine.html
  25. 8 garrow2025adversarialPolicyDiscovery Towards Adversarial Policy Discovery via Evolutionary Program Synthesis FraserGarrow.html MichaelALones.html RobertJamesStewart.html
  26. 4 Goodacre:2003:VS Explanatory analysis of spectroscopic data using machine learning of simple, interpretable rules RoystonGoodacre.html
  27. 1 Goodman:2022:sigevolution 2022 Humies Winners Awarded at GECCO in Boston! ErikGoodman.html
  28. 2 Goodman:2024:sigevolution 21st Human-Competitive Results Awards (``Humies'') 2024 ErikGoodman.html
  29. 1 grosan-stock Stock Market Prediction Using Multi Expression Programming CrinaGrosan.html AjithAbraham.html VitorinoJCasteloRamos.html SangYongHan.html
  30. 1 Gulic:thesis Parallelization of vehicle routing algorithms by using database with domain-specific embedded functions MatijaGulic.html
  31. 1 Gulowaty:2022:IJCNN Search-based framework for transparent non-overlapping ensemble models BogdanGulowaty.html MichalWozniak.html
  32. 1 Haddadi:thesis Investigating a behaviour analysis-based early warning system to identify botnets using machine learning algorithms FaribaHaddadi.html
  33. 1 hart:thesis Automatic control program creation using concurrent Evolutionary Computing JohnHart.html
  34. 9 Harvey:thesis Automated Feature Design for Time Series Classification by Genetic Programming DustinYHarvey.html
  35. 1 hiruta2021tom Automated construction of Transferable loading algorithm with Cartesian Genetic Programming YusukeHiruta.html KeiNishihara.html YujiKoguma.html MasakazuFujii.html MasayaNakata.html
  36. 3 Hong:thesis Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes LibinHong.html
  37. 3 Horibe:thesis Spatial localization of traveling neural activities induced by curved cortical surface geometry : A pre-pattern theory for brain wiring and folding KazuyaHoribe.html
  38. 3 Hornby:2011:EC Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission GregorySHornby.html JasonLohn.html DerekSLinden.html
  39. 4 Hrvatic:2024:EA Can Mutations Replace Local Search? Studying the Effect of Repeated Genetic Programming Operators in the Unrelated Machines Environment JosipHrvatic.html MarkoDurasevic.html FranciscoJavierGilGala.html DomagojJakobovic.html
  40. 1 Husa:2024:GPEM Semantic mutation operator for a fast and efficient design of bent Boolean functions JakubHusa.html LukasSekanina.html
  41. 21 Idris:2012:SMC Genetic Programming and Adaboosting based churn prediction for Telecom AdnanIdris.html AsifullahKhan.html YeonSooLee.html
  42. 15 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  43. 6 Kalkreuth:2024:sigevolution Drifting and Evolving: The graph-based Genetic Programming community has entered a new Era RomanTobiasKalkreuth.html
  44. 1 Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family AhmedKattan.html
  45. 1 Kazemi:thesis Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants PezhmanKazemi.html
  46. 20 Kianian:2025:UKCI GenGPLight: A Generalized Genetic Programming Framework for Traffic Signal Control in Arbitrary Intersection Structures SaharKianian.html EdKeedwell.html
  47. 1 Kovacs:2012:hbnc Genetics-based machine learning TimKovacs.html
  48. 2 krantz:2002:gecco:lbp Programmatic Compression of Natural Video ThomasKrantz.html OscarLindberg.html GunnarThorburn.html PeterNordin.html
  49. 1 kushwaha2025genetic Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems AjayShriramKushwaha.html
  50. 1 langdon:RN2001 Fast Generation of Big Random Binary Trees WilliamBLangdon.html
  51. 3 langdon:antifragile Dissipative Arithmetic WilliamBLangdon.html
  52. 19 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  53. 8 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  54. 1 le2025decouplingrepresentationlearninggenetic Decoupling Representation and Learning in Genetic Programming: the LaSER Approach NamLe.html JoshCBongard.html
  55. 4 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  56. 23 DBLP:conf/cec/LiM25 Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification JiayiLi.html JianbinMa.html
  57. 30 LIU:2021:JCP Predicting the effective diffusivity across the sediment-water interface in rivers Meng-YangLiu.html Wen-XinHuai.html BinChen.html
  58. 2 Luke:ECJ The ECJ Owner's Manual -- A User Manual for the ECJ Evolutionary Computation Library SeanLuke.html
  59. 1 Macedo:2018:EuroGP Geometric Crossover in Syntactic Space JoaoMacedo.html CarlosMFonseca.html ErnestoCosta.html
  60. 118 Mandli:thesis An Application Of Cybernetic Principles To The Modeling And Optimization Of Bioreactors AravindaReddyMandli.html
  61. Martinez:2014:Medellin Prediccion de los precios de contratos de electricidad usando programacion genetica con bloques funcionales CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
  62. 1 Mashiane:2014:PRASA Genetic Programming for Password Cracking, Phase One: Grammar Induction ThulaniMashiane.html NelishiaPillay.html
  63. 21 DBLP:conf/iqsp/MerzouguiD22 Multi-gene Genetic Programming based Predictive Models for Full-reference Image Quality Assessment NaimaMerzougui.html LeilaDjerou.html
  64. 1 Moraglio:thesis Towards a Geometric Unification of Evolutionary Algorithms AlbertoMoraglio.html
  65. 1 Nowakova2014413 System Identification Using Genetic Algorithms JanaNowakova.html MiroslavPokorny.html
  66. 4 Ochoa:2024:sigevolution The 2024 ACM SIGEVO Outstanding Contribution Awardees: Prof. Dr. Franz Rothlauf, Information Systems, University of Mainz, Germany GabrielaOchoa.html
  67. 12 olsson:1998:awsADATE The Art of Writing Specifications for the ADATE Automatic Programming System JRolandOlsson.html
  68. 2 olsson:1999:htif How to Invent Functions JRolandOlsson.html
  69. 20 Padmalatha:2025:ICMCSI Optimizing Emergency Response Unit Location using Genetic Algorithm for Better Response Efficiency EPadmalatha.html BrahmakantiSumaGeethika.html ShravaniSaiba.html
  70. 1 parada2025automatic Automatic Generation Of Algorithms VictorParada.html
  71. 2 Parejo2011 Metaheuristic optimization frameworks: a survey and benchmarking JoseAntonioParejo.html AntonioRuiz-Cortes.html SebastianLozano.html PabloFernandez.html
  72. 1 Paulikas:2005:ITC Movement of Flocked Subpopulations in Distributed Genetic Programming GiedriusPaulikas.html DaliusRubliauskas.html
  73. 36 Prashanth:2023:ISVLSI CellFlow: Automated Standard Cell Design Flow HCPrashanth.html PrashanthJonna.html MadhavRao.html
  74. 1 Prcic:thesis Application of genetic programming in wireless communications networks space optimization Vjekoslav-LeonardPrcic.html
  75. 1 Rabunal-Dopico:tesis Uso de Tecnicas de Inteligencia Artificial en Ingenieria Civil JuanRamonRabunalDopico.html
  76. 1 ramlan:2023:LOD Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data FitriaWulandariRamlan.html JamesMcDermott.html
  77. 1 ramlan:2025:GECCOcomp Can Synthetic Data Improve Symbolic Regression Extrapolation Performance? FitriaWulandariRamlan.html ColmO'Riordan.html GabrielKronberger.html JamesMcDermott.html
  78. 1 BRoss2:2000:GECCO Edge Detection of Petrographic Images Using Genetic Programming BrianJRoss.html FrankFueten.html DmytroYYashkir.html
  79. Roushangar:2014:JH Modeling energy dissipation over stepped spillways using machine learning approaches KiyoumarsRoushangar.html SamiraAkhgar.html FarzinSalmasi.html JalalShiri.html
  80. 25 SEPAHVAND:2021:BSPC A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN MajidSepahvand.html FardinAbdali-Mohammadi.html
  81. 1 Sipper2019tinyGP Tiny Genetic Programming in Python MosheSipper.html
  82. 2 solomonoff:2003:preNIPS Progress in Incremental Machine Learning RayJSolomonoff.html
  83. 2 spector:1999:FBQAAGP Finding a Better-than-Classical Quantum AND/OR Algorithm using Genetic Programming LeeSpector.html HowardBarnum.html HerbertJBernstein.html NikhilSwamy.html
  84. 4 Spector:2023:GPTP Particularity LeeSpector.html LiDing.html RyanBoldi.html
  85. 2 DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels RubaSultan.html HashemTamimi.html YaqoubAshhab.html
  86. 26 Tang:2018:ICSI Optimal Shape Design of an Autonomous Underwater Vehicle Based on Gene Expression Programming QirongTang.html YinghaoLi.html ZhenqiangDeng.html DiChen.html RuiqinGuo.html HaiHuang.html
  87. 22 TAVAKOLI:2023:istruc Generating synthetic ground motions reaching target spectrum with the optimization approach PouyaTavakoli.html HosseinRahami.html
  88. 2 Tchernev:gecco05lbp Queue-based Genetic Programming ElkoTchernev.html DhananjaySPhatak.html
  89. 1 journals/informaticaSI/WangZWZT17 An Improved Gene Expression Programming Based on Niche Technology of Outbreeding Fusion Chao-xueWang.html Jing-jingZhang.html Shu-lingWu.html FanZhang.html JolandaGTromp.html
  90. 1 Wang:2010:ietSB Inference of gene regulatory networks using S-system: a unified approach HaixinWang.html LijunQian.html EdwardRDougherty.html
  91. 20 oai:CiteSeerPSU:506281 ``GenPlan'': Combining Genetic Programming and Planning CarlHenrikWesterberg.html JohnLevine.html
  92. 2 White:2011:GPEM Software review: the ECJ toolkit DavidRobertWhite.html
  93. 1 wong:2005:GPEM Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming ManLeungWong.html
  94. 3 Zaherpour:thesis Improving global and catchment estimates of runoff through computationally-intelligent ensemble approaches Applications of intelligent multi-model combination, cross-scale model comparisons, ensemble analyses, and new model parameterisations JamalZaherpour.html
  95. 2 Zhang-Muehlenbein-94-WCCI-EC Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming Byoung-TakZhang.html HeinzMuhlenbein.html
  96. 23 ZHAO:2022:tws A functionally graded auxetic metamaterial beam with tunable nonlinear free vibration characteristics via graphene origami ShaoyuZhao.html YingyanZhang.html Yihe_Henin_Zhang.html JieYang.html SritawatKitipornchai.html
  97. 1 Zhechen_Zhu:book Automatic Modulation Classification: Principles, Algorithms and Applications ZhechenZhu.html AsokeKNandi.html
  98. 1 Zojaji:2016:aplint Semantic schema theory for genetic programming ZahraZojaji.html MohammadMehdiEbadzadeh.html

New and modified entries