Changes to Genetic Programing Bibliography since 2026/01/21

New

1. Alghieth:thesis Gene expression programming for efficient time-series financial forecasting ManalAlghieth.html
2. anthes:2026:EuroGP Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP PhilippAnthes.html
3. 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
4. bhattacharaya:2026:EuroGP A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies JoySeraBhattacharya.html ErikHemberg.html Una-MayO'Reilly.html
5. 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
6. briesch:2026:EuroGP On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis MartinBriesch.html
7. 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
8. de-Vries:2026:GPEM Discovering continuous-time memory-based symbolic policies using genetic programming SigurdeVries.html SanderWKeemink.html MarcelvanGerven.html
9. Dong:2026:GPEM An enhanced genetic programming algorithm with new genetic operators for medical image classification LinDong.html YingBi.html BingXue.html MengjieZhang.html
10. farinati:2026:EuroGP NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators DavideFarinati.html FredericoJJBSantos.html LeonardoVanneschi.html MauroCastelli.html
11. Fernandez:2020:beacon Doing Research at the Intersection of Arts and Science FranciscoFernandezdeVega.html
12. Fernandez-Oliva:2016:II Generacion de combinaciones de valores de pruebas utilizando metaheuristicas PerlaBeatrizFernandezOliva.html WilliamCantilloTerrero.html MarthaDuniaDelgadoDapena.html AlejandroRoseteSuarez.html CornelioYanezMarquez.html
13. fontbonne:tel-04137256 Individual and group learning dynamics in evolutionary collective robotics NicolasFontbonne.html
14. 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
15. AGeyer-Schulz2024-01 xegaSelectGene: Selection of Genes and Gene Representation Independent Functions AndreasGeyer-Schulz.html
16. AGeyer-Schulz2024-02 xegaBNF: Compile a Backus-Naur Form Specification into an R Grammar Object AndreasGeyer-Schulz.html
17. AGeyer-Schulz2024-03 xegaDerivationTrees: Generating and Manipulating Derivation Trees AndreasGeyer-Schulz.html
18. AGeyer-Schulz2024-04 xegaGaGene: Binary Gene Operations for Genetic Algorithms AndreasGeyer-Schulz.html
19. AGeyer-Schulz2024-05 xegaDfGene: Gene Operations for Real-Coded Genes AndreasGeyer-Schulz.html
20. AGeyer-Schulz2024-06 xegaPermGene: Operations on Permutation Genes AndreasGeyer-Schulz.html
21. AGeyer-Schulz2024-07 xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming AndreasGeyer-Schulz.html
22. AGeyer-Schulz2024-08 xegaGeGene: Grammatical Evolution AndreasGeyer-Schulz.html
23. AGeyer-Schulz2024-09 xegaPopulation: Genetic Population Level Functions AndreasGeyer-Schulz.html
24. AGeyer-Schulz2024-10 xega: Extended Evolutionary and Genetic Algorithms AndreasGeyer-Schulz.html
25. AGeyer-Schulz2024 Meta-Genetic Algorithms with the xega R-Package AndreasGeyer-Schulz.html
26. AGeyer-Schulz2025 xegaX. A Family of R-Packages for Genetic and Evolutionary Algorithms with Multiple Genome Representations AndreasGeyer-Schulz.html
27. hrvatic:2026:EuroGP Semantic Search Trajectory Networks for Understanding Genetic Programming JosipHrvatic.html MagdaSmolic-Rocak.html MarkoDurasevic.html GabrielaOchoa.html
28. huang2025bridgingfitnesssearchspaces Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP ZhixingHuang.html YiMei.html FangfangZhang.html MengjieZhang.html WolfgangBanzhaf.html
29. kocherovsky:2026:EuroGP Node Preservation and its Effect on Crossover in Cartesian Genetic Programming MarkKocherovsky.html IllyaBakurov.html WolfgangBanzhaf.html
30. kocherovsky:2026:EuroGP2 New Perspectives on Cartesian Genetic Programming: A Survey MarkKocherovsky.html HenningCui.html IllyaBakurov.html MichaelHeider.html RomanTobiasKalkreuth.html WolfgangBanzhaf.html
31. 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
32. Liu:2025:UPEC Novel Forecasting for Photovoltaic Installation Output Using Transfer Learning Genetic Programming YilinLiu.html DaniilHulak.html ZhengwenHuang.html GarethATaylor.html
33. Liu:2025:researchsquare Semantic Valued Schema Theory of Genetic Programming in Symbolic Regression YilinLiu.html ZhengwenHuang.html
34. Louloudakis:2026:ICSE_NIER A Selective Quantization Tuner for ONNX Models NikolaosLouloudakis.html AjithaRajan.html
35. Manzoni:2026:GP EuroGP 2026: Proceedings of the 29th European Conference on Genetic Programming LucaManzoni.html SylvainCussat-Blanc.html QiChen.html
36. Martinez:2013:IYU A modification of the methodology of symbolic regression for time series prediction CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
37. Meng:2026:patcog Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification WenyangMeng.html YingLi2.html FanZhang.html Xiaoying_Sharon_Gao.html JianbinMa.html
38. Miralavy:2026:GPEM Analyzing the impact of space in evolving spatially represented genetic programming models IliyaMiralavy.html WolfgangBanzhaf.html
39. miranda:2026:EuroGP Sinking the Bloat in Genetic Programming Using Equality Saturation LucasMiranda.html EmiliodeCamargoFrancesquini.html FabricioOlivettideFranca.html MatheusCamposFernandes.html
40. nadizar:2026:EuroGP Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured GiorgiaNadizar.html GloriaPietropolli.html EricMedvet.html
41. naqvi:2026:EuroGP Dynamic Vector and Matrix Memory for Tangled Program Graphs AliNaqvi.html StephenKelly.html
42. Nguyen:2026:GPEM Towards online genetic programming approach to dynamic flexible job shop scheduling SuNguyen.html BinhNganTran.html XuanNamNgo.html DuyThinhTran.html
43. pereira:2026:EuroGP Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness SofiaPereira.html LeonardoVanneschi.html
44. Pichardo:2020:SIMMAC Genetic programming to obtain mathematical models from turbine data using symbolic regression RomeroPichardo.html ErickJacob.html
45. doktorski_rad_lucija_planinic_uvez-pdf-a Improving automated design of dispatching rules in the unrelated machines environment LucijaPlaninic.html
46. Prabhu_Seals_Kyberd_Wetherall_2018 A survey on evolutionary-aided design in robotics ShankerGRadhakrishnaPrabhu.html RichardCSeals.html PeterJKyberd.html JodieCWetherall.html
47. ramlan:2026:EuroGP Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression FitriaWulandariRamlan.html ColmO'Riordan.html JamesMcDermott.html
48. Rocha:2024:LAJC Classification of Failure Using Decision Trees Induced by Genetic Programming RogerioCostaNegroRocha.html LaercioIvesSantos.html RafaelAlmeidaSoares.html FrancieleAlvesBarbosa.html MarcosFlavioSilveiraVasconcelosD'Angelo.html
49. 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
50. stanovov:2026:EuroGP Comparison of Parent and Environmental Selection Schemes in Genetic Programming VladimirStanovov.html
51. Tanev:2026:AROB-ISBC Evolving the Models of Friction Coefficients of Automobile Tires via Genetic Programming IvanTTanev.html HiroshigeHasegawa.html ManakaTokiwai.html
52. evotorch2023arxiv EvoTorch: Scalable Evolutionary Computation in Python NihatEnginToklu.html TimothyAtkinson.html VojtechMicka.html PawelLiskowski.html RupeshKumarSrivastava.html
53. vacher:2026:EuroGP Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control QuentinVacher.html NicolasBeuve.html MickaelDardaillon.html KarolDesnos.html
54. Vera-Rivera:thesis Modelo Inteligente de Especificacion de la Granularidad de Aplicaciones Basadas en Microservicios FredyHVera-Rivera.html
55. Yin:thesis Essays on Genetic Programming Applied to Financial Modelling ZhengYin.html
56. 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. 21 antonov:2024:GECCO A Functional Analysis Approach to Symbolic Regression KirillAntonov.html RomanTobiasKalkreuth.html KaifengYang.html ThomasBack.html NikivanStein.html AnnaVKononova.html
8. 6 Augustsson:2002:gecco Creation Of A Learning, Flying Robot By Means Of Evolution PeterAugustsson.html KristerWolff.html PeterNordin.html
9. 1 Genmorph_TSE_2024 GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming JonAyerdi.html ValerioTerragni.html GunelJahangirova.html AitorArrieta.html PaoloTonella.html
10. 13 oai:CiteSeerPSU:316448 Modeling Of Mechanical Parts Compositions Using Genetic Programming JozeBalic.html MiranBrezocnik.html FranciCus.html
11. 4 Balicki:2006:IJCSNS Multicriterion Genetic Programming for Trajectory Planning of Underwater Vehicle JerzyBalicki.html
12. 1 Baptist:2007:JHR On inducing equations for vegetation resistance MartinJBaptist.html VladanBabovic.html JavierRodriguezUthurburu.html MaartenKeijzer.html RobUittenbogaard.html ArthurMynett.html AdriVerwey.html
13. 1 bosamiya-thesis A Principled Approach Towards Unapologetic Security JayBosamiya.html
14. 10 Cattani:2010:cec ME-CGP: Multi Expression Cartesian Genetic Programming PhilipTCattani.html ColinGJohnson.html
15. 5 Chaudhary:2009:INMIC Determination of optimum genetic parameters for symbolic non-linear regression-like problems in genetic programming UsmanKhurshidChaudhary.html MasoodIqbal.html
16. 35 CUEVAS:2018:ESA A selection method for evolutionary algorithms based on the Golden Section ErikValdemarCuevasJimenez.html LuisEduardoEnriquezPerez.html DanielZaldivarNavarro.html MarcoAntonioPerezCisneros.html
17. 4 Cullen:2009:GEC Evolving common LISP programs in a linear-genotype evolutionary computation system JamieCullen.html
18. 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
19. 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
20. 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
21. 3 Dinh:thesis Mathematical modelling of the floral transition Jean-LouisDinh.html
22. 1 Dong:ieeeTEC Evolving Equation Learner For Symbolic Regression JunlanDong.html JinghuiZhong.html Wei-LiLiu.html JunZhang.html
23. 4 Dracopoulos:2013:HCSR Genetic programming as a solver to challenging reinforcement learning problems DimitrisCDracopoulos.html DimitriosEffraimidis.html BarryDNichols.html
24. 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
25. 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
26. 3 Durasevic:2024:EA2 Designing Less Myopic Routing Policies with Genetic Programming for the Electric Vehicle Routing Problem MarkoDurasevic.html FranciscoJavierGilGala.html
27. 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
28. 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
29. 2 Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
30. 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
31. 13 Fredericks:2026:GI Databending as a Target for Genetic Improvement ErikMFredericks.html ByronDeVries.html ReihanehHariri.html
32. 8 garrow2025adversarialPolicyDiscovery Towards Adversarial Policy Discovery via Evolutionary Program Synthesis FraserGarrow.html MichaelALones.html RobertJamesStewart.html
33. 4 Goodacre:2003:VS Explanatory analysis of spectroscopic data using machine learning of simple, interpretable rules RoystonGoodacre.html
34. 1 Goodman:2022:sigevolution 2022 Humies Winners Awarded at GECCO in Boston! ErikGoodman.html
35. 2 Goodman:2024:sigevolution 21st Human-Competitive Results Awards (``Humies'') 2024 ErikGoodman.html
36. 1 grosan-stock Stock Market Prediction Using Multi Expression Programming CrinaGrosan.html AjithAbraham.html VitorinoJCasteloRamos.html SangYongHan.html
37. 4 Guadalupe-Hernandez:2021:GPTP An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality JoseGuadalupeHernandez.html AlexanderLalejini.html CharlesOfria.html
38. 1 Gulic:thesis Parallelization of vehicle routing algorithms by using database with domain-specific embedded functions MatijaGulic.html
39. 1 Gulowaty:2022:IJCNN Search-based framework for transparent non-overlapping ensemble models BogdanGulowaty.html MichalWozniak.html
40. 1 Haddadi:thesis Investigating a behaviour analysis-based early warning system to identify botnets using machine learning algorithms FaribaHaddadi.html
41. 9 Harvey:thesis Automated Feature Design for Time Series Classification by Genetic Programming DustinYHarvey.html
42. 1 hiruta2021tom Automated construction of Transferable loading algorithm with Cartesian Genetic Programming YusukeHiruta.html KeiNishihara.html YujiKoguma.html MasakazuFujii.html MasayaNakata.html
43. 3 Hong:thesis Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes LibinHong.html
44. 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
45. 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
46. 1 Husa:2024:GPEM Semantic mutation operator for a fast and efficient design of bent Boolean functions JakubHusa.html LukasSekanina.html
47. 21 Idris:2012:SMC Genetic Programming and Adaboosting based churn prediction for Telecom AdnanIdris.html AsifullahKhan.html YeonSooLee.html
48. 13 jadhwani:2026:GI Applying Genetic Improvement Techniques for Automated Program Repair of Transpiled Code PrashamJadhwani.html CarolHanna.html WilliamBLangdon.html JustynaPetke.html
49. 6 Kalkreuth:2024:sigevolution Drifting and Evolving: The graph-based Genetic Programming community has entered a new Era RomanTobiasKalkreuth.html
50. 1 Kattan:thesis Evolutionary Synthesis of Lossless Compression Algorithms: the GP-zip Family AhmedKattan.html
51. 17 Koc:2015:CILS A genetic programming-based QSPR model for predicting solubility parameters of polymers DilekImrenKoc.html MehmetLeventKoc.html
52. 1 Kovacs:2012:hbnc Genetics-based machine learning TimKovacs.html
53. 2 krantz:2002:gecco:lbp Programmatic Compression of Natural Video ThomasKrantz.html OscarLindberg.html GunnarThorburn.html PeterNordin.html
54. 1 kushwaha2025genetic Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems AjayShriramKushwaha.html
55. 1 langdon:RN2001 Fast Generation of Big Random Binary Trees WilliamBLangdon.html
56. 3 langdon:antifragile Dissipative Arithmetic WilliamBLangdon.html
57. 2 langdon:2024:ASE Deep Imperative Mutations have Less Impact WilliamBLangdon.html DavidClark.html
58. 2 langdon:2026:GI Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter WilliamBLangdon.html CarolHanna.html
59. 12 Langdon:2026:raLGP Long Term Evolution Experiments with Linear Genetic Programming WilliamBLangdon.html
60. 1 le2025decouplingrepresentationlearninggenetic Decoupling Representation and Learning in Genetic Programming: the LaSER Approach NamLe.html JoshCBongard.html
61. 3 lee:2026:GI GI-Agent Search-Based LLM Agent for Code Optimization with Genetic Improvement DonghyunLee.html WilliamBLangdon.html JustynaPetke.html
62. 30 LIU:2021:JCP Predicting the effective diffusivity across the sediment-water interface in rivers Meng-YangLiu.html Wen-XinHuai.html BinChen.html
63. 1 Liu:2023:ICTIS Optimization of ship command and dispatch in the waters between the three gorges dams based on GP algorithm QingLiu.html ZhuofengTang.html ZheCong.html LeiWang2.html
64. 2 Luke:ECJ The ECJ Owner's Manual -- A User Manual for the ECJ Evolutionary Computation Library SeanLuke.html
65. 1 MA:2023:swevo Multi-generation multi-criteria feature construction using Genetic Programming JianbinMa.html Xiaoying_Sharon_Gao.html YingLi2.html
66. 1 Macedo:2018:EuroGP Geometric Crossover in Syntactic Space JoaoMacedo.html CarlosMFonseca.html ErnestoCosta.html
67. 3 reference/ai/ManriqueRR09 Grammar-Guided Genetic Programming DanielManriqueGamo.html JuanRiosCarrion.html AlfonsoRodriguez-PatonAradas.html
68. Martinez:2014:Medellin Prediccion de los precios de contratos de electricidad usando programacion genetica con bloques funcionales CarlosAlbertoMartinez.html JuanDavidVelasquezHenao.html
69. 1 MENG:2024:asoc Ensemble classifiers using multi-objective Genetic Programming for unbalanced data WenyangMeng.html YingLi2.html Xiaoying_Sharon_Gao.html JianbinMa.html
70. 21 DBLP:conf/iqsp/MerzouguiD22 Multi-gene Genetic Programming based Predictive Models for Full-reference Image Quality Assessment NaimaMerzougui.html LeilaDjerou.html
71. 4 Ochoa:2024:sigevolution The 2024 ACM SIGEVO Outstanding Contribution Awardees: Prof. Dr. Franz Rothlauf, Information Systems, University of Mainz, Germany GabrielaOchoa.html
72. 12 olsson:1998:awsADATE The Art of Writing Specifications for the ADATE Automatic Programming System JRolandOlsson.html
73. 2 olsson:1999:htif How to Invent Functions JRolandOlsson.html
74. 21 Pacioni:2025:evoapplications FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data EliaPacioni.html FranciscoFernandezdeVega.html DavideCalvaresi.html
75. 1 parada2025automatic Automatic Generation Of Algorithms VictorParada.html
76. 2 Parejo2011 Metaheuristic optimization frameworks: a survey and benchmarking JoseAntonioParejo.html AntonioRuiz-Cortes.html SebastianLozano.html PabloFernandez.html
77. 1 Paulikas:2005:ITC Movement of Flocked Subpopulations in Distributed Genetic Programming GiedriusPaulikas.html DaliusRubliauskas.html
78. 1 peng:2022:EuroRadiology Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy Wan-LinPeng.html Tian-JingZhang.html KeShi.html Hai-XiaLi.html YingLi3.html SenHe.html ChenLi.html DongXia.html Chun-ChaoXia.html Zhen-LinLi.html
79. 2 Peng:2021:BMCGenomics GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies Yu-zhongPeng.html YanmeiLin.html YiranHuang.html YingLi4.html GuangshengLuo.html JianpingLiao.html
80. 36 Prashanth:2023:ISVLSI CellFlow: Automated Standard Cell Design Flow HCPrashanth.html PrashanthJonna.html MadhavRao.html
81. 1 Prcic:thesis Application of genetic programming in wireless communications networks space optimization Vjekoslav-LeonardPrcic.html
82. 1 ramlan:2023:LOD Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data FitriaWulandariRamlan.html JamesMcDermott.html
83. 1 ramlan:2025:GECCOcomp Can Synthetic Data Improve Symbolic Regression Extrapolation Performance? FitriaWulandariRamlan.html ColmO'Riordan.html GabrielKronberger.html JamesMcDermott.html
84. 3 reissmann:2025:GPEM Constraining genetic symbolic regression via semantic backpropagation MaximilianReissmann.html YuanFang.html AndrewSHOoi.html RichardDSandberg.html
85. 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
86. 1 Sipper2019tinyGP Tiny Genetic Programming in Python MosheSipper.html
87. 2 solomonoff:2003:preNIPS Progress in Incremental Machine Learning RayJSolomonoff.html
88. 6 song:2024:PPSN Symbol Graph Genetic Programming for Symbolic Regression JingluSong.html QiangLu.html BozhouTian.html JingwenZhang.html JakeLuo.html ZhiguangWang.html
89. 2 spector:1999:FBQAAGP Finding a Better-than-Classical Quantum AND/OR Algorithm using Genetic Programming LeeSpector.html HowardBarnum.html HerbertJBernstein.html NikhilSwamy.html
90. 4 Spector:2023:GPTP Particularity LeeSpector.html LiDing.html RyanBoldi.html
91. 2 DBLP:journals/iajit/SultanTA19 Improving classification performance using genetic programming to evolve string kernels RubaSultan.html HashemTamimi.html YaqoubAshhab.html
92. 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
93. 2 Tchernev:gecco05lbp Queue-based Genetic Programming ElkoTchernev.html DhananjaySPhatak.html
94. 1 vacher:2025:GECCO MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning QuentinVacher.html StephenKelly.html AliNaqvi.html NicolasBeuve.html TanyaDjavaherpour.html MickaelDardaillon.html KarolDesnos.html
95. 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
96. 1 Wang:2010:ietSB Inference of gene regulatory networks using S-system: a unified approach HaixinWang.html LijunQian.html EdwardRDougherty.html
97. 5 Wang:2023:TVT Channel Prediction Using Ordinary Differential Equations for MIMO systems LeiWang2.html GuanzhangLiu.html JiangXue.html Kat-KitWong.html
98. 1 Wang:2022:ICCT Channel Prediction Using a System of Ordinary Differential Equation LeiWang2.html GuanzhangLiu.html JiangXue.html
99. 20 oai:CiteSeerPSU:506281 ``GenPlan'': Combining Genetic Programming and Planning CarlHenrikWesterberg.html JohnLevine.html
100. 2 White:2011:GPEM Software review: the ECJ toolkit DavidRobertWhite.html
101. 1 wong:2005:GPEM Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming ManLeungWong.html
102. 4 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
103. 1 Zhang:2026:ieeeTEC2 Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal Jensen Gap Minimization HengzheZhang.html QiChen.html BingXue.html WolfgangBanzhaf.html MengjieZhang.html
104. 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
105. 1 Zhechen_Zhu:book Automatic Modulation Classification: Principles, Algorithms and Applications ZhechenZhu.html AsokeKNandi.html

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