Changes to Genetic Programing Bibliography since 2026/03/12

New and modified entries

New

  1. Outstanding:2026:sigevolution Prof. Mengjie Zhang
  2. AbdusSalam:2026:RSTA Symbolic regression and differentiable fits in beyond the standard model physics ShehuAbdusSalam.html StevenAbel.html DeaglanJBartlett.html MiguelCrispimRomao.html
  3. Bartlett:2026:RSTAintro Introduction to the Special issue on symbolic regression in the physical sciences DeaglanJBartlett.html HarryDesmond.html PedroGFerreira.html GabrielKronberger.html
  4. Desmond:2026:RSTA (Exhaustive) symbolic regression and model selection by minimum description length HarryDesmond.html
  5. Bartlett:2026:RSTA Symbolic emulators for cosmology: accelerating cosmological analyses without sacrificing precision DeaglanJBartlett.html ShivamPandey.html
  6. batista2024-evolving-robust-and-readable-land Evolving robust and readable land cover models for improved forest monitoring JoaoEduardoBatista.html
  7. Batista:2026:evoapplications EvoTADASHI: Genetic Programming for High-Performance Code Optimization JoaoEduardoBatista.html EmilVatai.html AleksandrDrozd.html MohamedWahib.html
  8. Bi:2026:swevo A new genetic programming approach to dynamic multi-point dynamic aggregation problem YingBi.html XishuiXue.html Ya-HuiJia.html CaitongYue.html KaiZhang.html
  9. Bomarito:2026:RSTA Bayesian symbolic regression via posterior sampling GeoffreyFBomarito.html PatrickELeser.html
  10. brookes2025evolvingexcellenceautomatedoptimization Evolving Excellence: Automated Optimization of LLM-based Agents PaulBrookes.html VardanVoskanyan.html RafailGiavrimis.html MatthewTruscott.html MinaIlieva.html ChrystallaPavlou.html AlexandruStaicu.html ManalAdham.html WillEvers-Hood.html JingzhiGong.html KejiaZhang.html MatveyFedoseev.html VishalSharma.html RomanBauer.html ZhengWang.html HemaNair.html WeiJie.html TianhuaXu.html AuroraConstantin.html LeslieKanthan.html MichailBasios.html
  11. Burlacu:2026:RSTA Zobrist hash-based duplicate detection in symbolic regression BogdanBurlacu.html
  12. Constantin:2026:RSTA Statistical patterns in the equations of physics and the emergence of a meta-law of nature AndreiConstantin.html PedroGFerreira.html HarryDesmond.html DeaglanJBartlett.html
  13. deFranca:2026:RSTA Equality graph-assisted symbolic regression FabricioOlivettideFranca.html GabrielKronberger.html
  14. Helmuth:2026:sigevolution The 2025 ACM GECCO Impact Award: General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
  15. Imai-Aldeia:2026:RSTA Towards symbolic regression for interpretable clinical decision scores GuilhermeSeidyoImaiAldeia.html JosephDRomano.html FabricioOlivettideFranca.html DanielSHerman.html WilliamLaCava.html
  16. Kabliman:2026:RSTA Identification of empirical constitutive models for age-hardenable aluminium alloy and high-chromium martensitic steel using symbolic regression EvgeniyaKabliman.html GabrielKronberger.html
  17. Lall:2026:evoapplications Genetic Programming for Energy-Efficient Device-Edge Collaborative Inference ShrutiLall.html NelishiaPillay.html
  18. langdon:2026:sigevolution Who Found What: Searches of the Genetic Programming Bibliography WilliamBLangdon.html
  19. Liao:2026:swevo A Multi-population genetic programming algorithm to model estimation for LLC resonant converter YuefengLiao.html ZhiqiangWang.html YingBi.html JingLiang.html XiaoHan.html
  20. Liu:2026:evoapplications Adaptive Curriculum Learning in Genetic Programming-Guided Local Search for Large-Scale Vehicle Routing Problems SainingLiu.html YiMei.html MengjieZhang.html
  21. Martin:2026:RSTA Constraining dark matter halo profiles with symbolic regression AliciaMartin.html TariqYasin.html DeaglanJBartlett.html HarryDesmond.html PedroGFerreira.html
  22. Megane:2026:GPEM Exploring grammar-guided design and evolution of polyominoes with modular soft robots JessicaMegane.html EricMedvet.html NunoLourenco.html PenousalMachado.html
  23. Nadizar:2025:sigevolution Towards Bio-Inspired Interpretable Embodied Artificial Intelligence GiorgiaNadizar.html
  24. Naqvi:2026:evostarLBA Evolving Register Count in Linear Genetic Programming AliNaqvi.html ReuvenDukas.html StephenKelly.html
  25. Pacioni:2026:evoapplications FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios EliaPacioni.html CelienMuller.html FranciscoFernandezdeVega.html DavideCalvaresi.html
  26. DBLP:journals/sncs/PinnaRRML25 Exploring the Effect of Genetic Improvement for Large Language Models-Generated Code GiovanniPinna.html DamianoRavalico.html LuigiRovito.html LucaManzoni.html AndreaDeLorenzo.html
  27. Rockett:2026:GPEM Solving ordinary differential equations with genetic programming with hard initial/boundary value constraints PeterIRockett.html
  28. Russeil:2026:RSTA Exploring multi-view symbolic regression methods in physical sciences EtienneRusseil.html FabricioOlivettideFranca.html GuillaumeMoinard.html KonstantinMalanchev.html MaximeCherrey.html
  29. Sakallioglu:2026:evoapplications Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability BerfinSakallioglu.html FredericoJJBSantos.html DanielParraRodriguez.html YuxinQiu.html MiguelNicolau.html LeonardoTrujillo.html JoseIgnacioHidalgoPerez.html
  30. Saketos:2026:evoapplications Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming VasileiosSaketos.html SebastianKaltenbach.html SergeyLitvinov.html PetrosKoumoutsakos.html
  31. templier2024synergies Leveraging Structures in Evolutionary Neural Policy Search PaulTemplier.html
  32. Templier:2025:sigevolution Leveraging Structures in Evolutionary Neural Policy Search PaulTemplier.html
  33. Vanneschi:2026:GPEM SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover LeonardoVanneschi.html SofiaCarreiradaConceicaoAlvesPereira.html DavideFarinati.html
  34. Qinyu_Wang:2026:CIS A new genetic programming approach to fine-grained flower image classification QinyuWang.html YingBi.html BingXue.html MengjieZhang.html
  35. Yu:2025:PRICAI A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators KunjieYu.html MengyuWang.html YingBi.html JingLiang.html BingXue.html MengjieZhang.html
  36. Zhu:2026:evostarLBA Surrogate-assisted Lifelong Learning of Scheduling Rules with Genetic Programming for Dynamic Flexible Job Shop Scheduling LuyaoZhu.html FangfangZhang.html YiMei.html MengjieZhang.html
  37. Zoeller:thesis Automated generation of pipelines for machine learning in industrial manufacturing Marc-AndreZoeller.html

Modified

  1. 31 Ahmadi:2024:swevo Bi-level game theoretic approach for robust design: A case study of path-generating four-bar BahmanAhmadi.html AliJamali.html RammohanMallipeddi.html NaderNariman-Zadeh.html BehzadAhmadi.html HamidKhayyam.html
  2. 1 anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
  3. 1 Azari:thesis Evolutionary Algorithms for Improving De Novo Peptide Sequencing SamanehAzari.html
  4. 1 banzhaf:2003:GPTP Artificial Regulatory Networks and Genetic Programming WolfgangBanzhaf.html
  5. 1 Berardi:2008:JH Development of pipe deterioration models for water distribution systems using EPR LuigiBerardi.html ZoranKapelan.html OrazioGiustolisi.html DraganSavic.html
  6. 1 berarducci:2004:ugw:pber GEVOSH: Using Grammatical Evolution to Generate Hashing Functions PatrickBerarducci.html DemetriusJordan.html DavidMartin.html JenniferSeitzer.html
  7. 1 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
  8. 1 bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
  9. 1 briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
  10. 1 carlet:2025:EuroGP A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes ClaudeCarlet.html MarkoDurasevic.html DomagojJakobovic.html StjepanPicek.html LucaMariot.html
  11. 7 DBLP:journals/ijpr/ChenLG24 A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem HaoJieChen.html XinyuLi.html LiangGao.html
  12. 8 chen:2023:BIC-TA Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching XinanChen.html JingDong.html RongQu.html RuibinBai.html
  13. 1 Cranmer_princeton_0181D_14439 Interpretable Machine Learning for the Physical Sciences MilesCranmer.html
  14. 1 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
  15. 4 DeFreitas:2018:CECdiogo Mutation-Based Evolutionary Fault Localisation JoaoMarcosdeFreitas.html PliniodeSaLeitaoJunior.html CelsoGCamilo-Junior.html RachelHarrison.html
  16. 6 deFreitas:2018:CEC Evolving Controllers for Mario AI Using Grammar-based Genetic Programming JoaoMarcosdeFreitas.html FelipeRafaeldeSouza.html HederSoaresBernardino.html
  17. 1 Dempster:2006:ESA An automated FX trading system using adaptive reinforcement learning MichaelDempster.html VascoLeemans.html
  18. 1 david-dewhurst-phd-dissertation Essays on modeling and analysis of dynamic sociotechnical systems DavidRushingDewhurst.html
  19. 22 Do:2024:finmec Machine learning approach for predicting early-age thermal cracking potential in concrete bridge piers TuAnhDo.html Ba-AnhLe.html
  20. 10 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
  21. 3 Elsey:thesis Dynamic Modelling, Measurement and Control of Co-rotating Twin-Screw Extruders JustinElsey.html
  22. 1 farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
  23. 2 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
  24. 1 geiger:2025:EuroGP Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection AlinaGeiger.html MartinBriesch.html DominikSobania.html FranzRothlauf.html
  25. 1 Giri:2013:MMP Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace BrijeshKumarGiri.html FrankPettersson.html HenrikSaxen.html NirupamChakraborti.html
  26. 2 Gubina:2024:NIPS Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NinaGubina.html AndreiDmitrenko.html GlebSolovev.html LyubovYamshchikova.html OlegPetrov.html IvanLebedev.html NikitaSerov.html GrigoriiKirgizov.html NikolayONikitin.html VladimirVinogradov.html
  27. 26 Han:2025:CIM Transformer-Assisted Genetic Programming for Symbolic Regression [Research Frontier] XiaoxuHan.html JinghuiZhong.html ZhitongMa.html XinMu.html NikolaGligorovski.html
  28. 4 Helmuth:2015:GECCO General Program Synthesis Benchmark Suite ThomasHelmuth.html LeeSpector.html
  29. 2 hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
  30. 7 DBLP:journals/corr/abs-2505-21901 Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives ZhixingHuang.html BingXue.html MengjieZhang.html JeremyRooney.html KeithCGordon.html DanielPKilleen.html
  31. Aldeia:2018:CEC Lightweight Symbolic Regression with the Interaction-Transformation Representation GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  32. Aldeia:2020:CEC A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  33. Aldeia:2021:GECCO Measuring Feature Importance of Symbolic Regression Models Using Partial Effects GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  34. aldeia:2022:SymReg Interaction-Transformation Evolutionary Algorithm with coefficients optimization GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  35. Aldeia:2022:GPEM Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set GuilhermeSeidyoImaiAldeia.html FabricioOlivettideFranca.html
  36. Aldeia:2025:SymReg Call for Action: towards the next generation of symbolic regression benchmark GuilhermeSeidyoImaiAldeia.html HengzheZhang.html GeoffreyFBomarito.html MilesCranmer.html AlcidesFonseca.html BogdanBurlacu.html WilliamLaCava.html FabricioOlivettideFranca.html
  37. Aldeia:thesis Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking GuilhermeSeidyoImaiAldeia.html
  38. 4 ito:1998:ddx Depth-Dependent Crossover for Genetic Programming TakuyaIto.html HitoshiIba.html SatoshiSato.html
  39. 4 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
  40. 1 jin:2020:SaMO Compositional kernel learning using tree-based genetic programming for Gaussian process regression Seung-SeopJin.html
  41. 6 Kino:2020:SICE Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity SoheiKino.html TomohiroHarada.html RuckThawonmas.html
  42. 1 kleinau:2003:MIC Deriving simple (R,T)-policies with Genetic Programming PeerKleinau.html
  43. 2 kleinau:thesis_book Application of Genetic Programming to Finance and Operations Management PeerKleinau.html
  44. 2 kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
  45. 1 kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
  46. 21 Krawiec:2014:GECCO Behavioral programming: a broader and more detailed take on semantic GP KrzysztofKrawiec.html Una-MayO'Reilly.html
  47. 1 langdon:2024:sigevolution Searching the Genetic Programming Bibliography WilliamBLangdon.html
  48. 2 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
  49. 4 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
  50. 1 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
  51. 3 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
  52. 36 Li:2025:cor A novel hyper-heuristic based on surrogate genetic programming for the three-dimensional spatial resource-constrained project scheduling problem under uncertain environments LuboLi.html JingwenZhang.html HaohuaZhang.html RoelLeus.html
  53. 28 Li:2025:jmsy Manufacturing resource-based self-organizing scheduling using multi-agent system and deep reinforcement learning YuxinLi.html QihaoLiu.html XinyuLi.html LiangGao.html
  54. 4 Lipson:book Fabricated: The New World of 3D Printing HodLipson.html MelbaKurman.html
  55. 2 DBLP:journals/rcs/Loaiza-Meseguer22 Genetic Programming in Software Engineering LeslieLoaiza-Meseguer.html AngelJuanSanchez-Garcia.html JorgeOctavioOcharan-Hernandez.html
  56. 2 Manahov:2016:IRFA A note on the relationship between high-frequency trading and latency arbitrage ViktorManahov.html
  57. 22 masood:2025:GECCOcomp Model-Adaptive Reference Points Generation based on Gaussian Process for Many-Objective Optimization AtiyaMasood.html
  58. 12 miller:2000:peddg1 Principles in the Evolutionary Design of Digital Circuits-Part I JulianFMiller.html DominicJob.html VesselinKVassilev.html
  59. 1 Miller:GPEM20 Cartesian Genetic Programming: its status and future JulianFMiller.html
  60. 1 miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
  61. 4 moller:2023:AI An adaptive mutation for cartesian genetic programming using an epsilon-greedy strategy FredericoJoseDiasMoller.html HederSoaresBernardino.html StenioSaRosarioFurtadoSoares.html LucasAugustoMullerdeSouza.html
  62. 1 Nadizar:thesis Towards Bio-Inspired Interpretable Embodied Artificial Intelligence: Merging Bio-Mimicry with Transparency in Robot Controllers GiorgiaNadizar.html
  63. 1 nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
  64. 1 naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
  65. 1 Nguyen:2020:IDA AVATAR Machine Learning Pipeline Evaluation Using Surrogate Model Tien-DungNguyen.html TomaszMaszczyk.html KatarzynaMusialGabrys.html Marc-AndreZoeller.html BogdanGabrys.html
  66. 3 Ochoa:1998:PPSN On genetic algorithms and Lindenmayer systems GabrielaOchoa.html
  67. 1 pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaCarreiradaConceicaoAlvesPereira.html LeonardoVanneschi.html
  68. 2 ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
  69. 2 Reuter:2024:PPSN Unit-Aware Genetic Programming for the Development of Empirical Equations JuliaReuter.html ViktorMartinek.html RolandHerzog.html SanazMostaghim.html
  70. 3 Samie:thesis Bio-inspired prokaryotic array for fault-tolerant electronic systems MohammadSamie.html
  71. 1 schulte10:_autom_progr_repair_evolut_assem_code Automated Program Repair through the Evolution of Assembly Code EricSchulte.html StephanieForrest.html WestleyWeimer.html
  72. 2 Seesing:mastersthesis EvoTest Test Case Generation Using Genetic Programming and Software Analysis ArjanSeesing.html
  73. 1 Silva:2011:GECCOcomp Handling bloat in GP SaraSilva.html
  74. 1 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
  75. 2 stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
  76. 22 teixeira:2025:GECCO Transformers as Surrogate Models for Genetic Programming in AutoML Tasks MatheusCandidoTeixeira.html GiseleLPappa.html
  77. 2 Tsoi:2025:CS4BS SymbolFit: Automatic Parametric Modeling with Symbolic Regression HoFungTsoi.html DylanRankin.html CecileCaillol.html MilesCranmer.html SridharaDasu.html JavierDuarte.html PhilipHarris.html ElliotLipeles.html VladimirLoncar.html
  78. 1 vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
  79. 1 Vassilev:thesis Fitness landscapes and search in the evolutionary design of digital circuits VesselinKVassilev.html
  80. 10 Vijaya-Chandran:2022:ISSE Reduced Order Modeling of a Heat Exchanger with a Stacking Ensemble to reduce Computational Inefficiencies VinayakVijayaChandran.html RoopaAdepu.html
  81. 2 voss:gecco03lbp Social Programming on MARS A Benchmark Study MarkSethVoss.html
  82. 5 Yong_Wang:TETCI Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling YongWang.html JieZhang3.html FangfangZhang.html Gai-GeWang.html MengjieZhang.html
  83. 18 wei:2025:GECCOcomp Refining Neural Network with Symbolic Regression WeiWei2.html QiangLu.html CanHuang.html JakeLuo.html
  84. 1 Weimer:2009:ICES Automatically Finding Patches Using Genetic Programming WestleyWeimer.html ThanhVuNguyen.html ClaireLeGoues.html StephanieForrest.html
  85. 19 wen:2024:GECCO Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery JiahaoWen.html JunlanDong.html JinghuiZhong.html
  86. 3 Wu20081347 Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression Chih-HungWu.html Hung-JuChou.html Wei-HanSu.html
  87. 14 xu:2025:GECCOcomp2 Transformer-Guided Genetic Programming for Symbolic Regression ChaoXu.html JunlanDong.html YanqiaoLv.html JinghuiZhong.html
  88. 6 Zhang:2022:SSCI Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling FangfangZhang.html YiMei.html SuNguyen.html MengjieZhang.html
  89. 2 Yang_Zhang:PD Early Warning of Incipient Faults for Power Transformer Based on DGA Using a Two-Stage Feature Extraction Technique YangZhang.html HongCaiChen.html YaPingDu.html MinChen2.html JieLiang.html JianhongLi.html XiqingFan.html LingSun.html QingshaSCheng.html XinYao.html
  90. 1 zhang:2026:EuroGP Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression JiayuZhang.html QiChen.html BingXue.html MengjieZhang.html
  91. 24 Zhong:2018:ICONIP A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems JinghuiZhong.html YusenLin.html ChengyuLu.html ZhixingHuang.html

New and modified entries