Changes to Genetic Programing Bibliography since 2023/04/21

New

1. Adkins:2023:evomusart LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature SaraAdkins.html PedroSarmento.html MathieuBarthet.html
2. Baltes:2023:GI All about the money: Cost modeling and optimization of cloud applications SebastianBaltes.html
3. Bird:2023:GPEM Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation JordanJBird.html AhmadLotfi.html
4. BUCCHERI2022100398 Stratified analysis of the age-related waist circumference cut-off model for the screening of dysglycemia at zero-cost EnricoBuccheri.html DanieleDell'Aquila.html MarcoRusso.html
5. Chen:2023:evoapplications Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning YuhengChen.html TaoShi.html HuiMa.html AaronChen.html
6. Cohen:2023:GI It’s all in the Semantics: When are Genetically Improved Programs Still Correct? MyraBCohen.html
7. dbbs_mods_00071130 xMLC - A Toolkit for Machine Learning Control GuyYoslanCornejoMaceda.html FrancoisLusseyran.html BerndRNoack.html
8. Dell'Aquila:2021:cpc Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach DanieleDell'Aquila.html MarcoRusso.html
9. DiCapua:2023:evoapplications Using Genetic Programming to Learn Behavioral Models of Lithium Batteries GiuliaDiCapua.html CarmineBourelly.html ClaudioDeStefano.html FrancescoRFontanella.html FilippoMilano.html MarioMolinara.html NunzioOliva.html FrancescoPorpora.html
10. Fan:2023:FoSE Large Language Models for Software Engineering AngelaFan.html BelizUgurhanGokkaya.html MarkHarman.html MityaLyubarskiy.html ShubhoSengupta.html ShinYoo.html JieMarinaZhang.html
11. Gold:2023:evoapplications Genetic Programming and Coevolution to Play the Bomberman Video Game RobertGold.html HenriqueBranquinho.html ErikHemberg.html Una-MayO'Reilly.html PabloGarcia-Sanchez.html
12. Hamilton:2023:evoapplications Hamilton:2023:evoapplications JohnConnorRegoHamilton.html AnikoEkart.html AlinaPatelli.html
13. Hassan:2023:evoapplications Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications MujtabaHassan.html ArishSateesan.html JoVliegen.html StjepanPicek.html NeleMentens.html
14. Kazemi:thesis Data-driven soft-sensors for monitoring and fault diagnosis in wastewater treatment plants PezhmanKazemi.html
15. Kim:2021:mathAI Distilling Wikipedia Mathematical Knowledge into Neural Network Models JoanneTaeryKim.html MikelLandajuela.html BrendenKylePetersen.html
16. Naredo:2023:MCS Comprehensive Analysis of Learning Cases in an Autonomous Navigation Task for the Evolution of General Controllers EnriqueNaredo.html CandelariaElizabethSansoresPerez.html FlavianoGodinez.html FranciscoLopez.html PauloUrbano.html LeonardoTrujillo.html ConorRyan.html
17. Nowack:2023:GI 12th International Workshop on Genetic Improvement @ICSE 2023 VesnaNowack.html MarkusWagner.html GabinAn.html AymericBlot.html JustynaPetke.html
18. Ruyssinck:thesis Machine Learning for Biological Network Inference JoeriRuyssinck.html
19. Shimizu:2007:IJPR Optimal disassembly sequence generation using a genetic programming YoshiakiShimizu.html KyoheiTsuji.html MasayukiNomura.html
20. Sipper:2022:mlwa AddGBoost: A gradient boosting-style algorithm based on strong learners MosheSipper.html JasonHMoore.html
21. Vu:2021:IGSS Challenges of three-objective bi-level model discovery: Application to alcohol use in New York State, 1985-2015 TuongManhVu.html CharlotteBuckley.html AlanBrennan.html RobinCPurshouse.html
22. Wang:2023:evoapplications Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming ChenWang.html HuiMa.html AaronChen.html VictoriaHuang.html YongboYu.html KameronChristopher.html

Modified

1. 1 journals/iajit/AbbasiSA14 Multi block based image watermarking in wavelet domain using genetic programming AlmasAbbasi.html WooChawSeng.html ImranShafiqAhmad.html
2. 1 abdulkarimova:tel-03700035 SINUS-IT: an evolutionary approach to harmonic analysis UlviyaAbdulkarimova.html
3. 1 Agapitos:2006:CEC Evolving Efficient Recursive Sorting Algorithms AlexandrosAgapitos.html SimonMLucas.html
4. 1 Al-Madi:2013:SSCI Improving genetic programming classification for binary and multiclass datasets NailahAl-Madi.html SimoneALudwig.html
5. 1 Alfaro-Cid:2006:CEC Evolving a Learning Machine by Genetic Programming EvaAlfaro-Cid.html KennethCSharman.html AnnaEsparcia-Alcazar.html
6. 8 alMasalma:2023:GPEM Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks MihyarAlMasalma.html MalcolmHeywood.html
7. 3 Alonso:2016:CI Genetic Programming Model Regularization CesarLuisAlonso.html JoseLuisMontanaArnaiz.html CruzEnriqueBorges.html
8. 1 Anthony:2017/08/facebook Facebook's evolutionary search for crashing software bugs SebastianAnthony.html
9. 4 ari:2023:SC DEHypGpOls: a genetic programming with evolutionary hyperparameter optimization and its application for stock market trend prediction DavutAri.html BarisBaykantAlagoz.html
10. 1 Banzhaf:2022:GPTP Genetic Programming Theory and Practice XIX LeonardoTrujillo.html StephanMWinkler.html SaraSilva.html WolfgangBanzhaf.html
11. 3 Becker:2020:TPOT Faster AutoML with TPOT and RAPIDS NickBecker.html DanteGamaDessavre.html JohnZedlewski.html
12. 1 Bernardi:2006:CEC An Evolutionary Methodology to Enhance Processor Software-Based Diagnosis PaoloBernardi.html ErnestoSanchez.html MassimilianoSchillaci.html GiovanniSquillero.html MatteoSonzaReorda.html
13. 1 Bokhari:2017:GI Deep Parameter Optimisation on Android Smartphones for Energy Minimisation - A Tale of Woe and a Proof-of-Concept MahmoudABokhari.html BobbyRBruce.html BradAlexander.html MarkusWagner.html
14. 1 Bokhari:2019:GI7 The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach MahmoudABokhari.html MarkusWagner.html BradAlexander.html
15. 2 Bosman:PPSN:2004 Learning Probabilistic Tree Grammars for Genetic Programming PeterANBosman.html EdwinDdeJong.html
16. 10 Brotto-Rebuli:2022:WIVACE Single and Multi-objective Genetic Programming Methods for Prediction Intervals KarinaBrottoRebuli.html MarioGiacobini.html NiccoloTallone.html LeonardoVanneschi.html
17. 4 bruce2015reducing Reducing Energy Consumption Using Genetic Improvement BobbyRBruce.html JustynaPetke.html MarkHarman.html
18. 2 BRUNELLO:2022:pmcj A genetic programming approach to WiFi fingerprint meta-distance learning AndreaBrunello.html AngeloMontanari.html NicolaSaccomanno.html
19. 1 Christensen:2006:CEC The Y-Test: Fairly Comparing Experimental Setups with Unequal Effort SteffenChristensen.html FranzOppacher.html
20. 1 Ciesielski:2006:CEC Analysis of the Superiority of Parameter Optimization over Genetic Programming for a Difficult Object Problem VictorCiesielski.html GayanWijesinghe.html AndrewInnes.html SabuJohn.html
21. 2 Cornejo:2018:GAMM Optimizing MIMO control for fluidic pinball using machine learning GuyYoslanCornejoMaceda.html FrancoisLusseyran.html BerndRNoack.html MarekMorzynski.html
22. 4 Cornejo-Maceda:thesis Gradient-enriched machine learning control exemplified for shear flows in simulations and experiments GuyYoslanCornejoMaceda.html
23. 1 Corns:2006:CEC Improving Design Diversity Using Graph Based Evolutionary Algorithms StevenMCorns.html DanielAshlock.html DouglasSMcCorkle.html KennethMBryden.html
24. 28 d'angelo:2022:SC A genetic programming-based approach for classifying pancreatic adenocarcinoma: the SICED experience GianniD'Angelo.html MariaNunziaScoppettuolo.html AnnaLisaCammarota.html AlessandraRosati.html FrancescoPalmieri.html
25. 30 DANGELO:2023:future Identifying patterns in multiple biomarkers to diagnose diabetic foot using an explainable genetic programming-based approach GianniD'Angelo.html DavidDella-Morte.html DonatellaPastore.html GiuliaDonadel.html AlessandroDeStefano.html FrancescoPalmieri.html
26. 7 Das:2017:NASAmlw Using Machine Learning to Study the Effects of Climate on the Amazon Rainforests KamalikaDas.html
27. 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
28. 1 DelCarpio:2006:CEC An Evolving Automaton for RNA Secondary Structure Prediction CarlosAdrielDelCarpio.html MohamedIsmael.html EichiroIchiishi.html MichihisaKoyama.html MomojiKubo.html AkiraMiyamoto.html
29. 1 dempsey:2006:CEC Adaptive Trading with Grammatical Evolution IanDempsey.html MichaelO'Neill.html AnthonyBrabazon.html
30. 6 Diaz-Alvarez:2022:MC Population size influence on the energy consumption of genetic programming JosefaDiazAlvarez.html PedroACastilloValdivieso.html FranciscoFernandezdeVega.html FranciscoChavezdelaO.html JorgeAlvarado.html
31. 27 DiCapua:2022:WIVACE Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks GiuliaDiCapua.html MarioMolinara.html FrancescoRFontanella.html ClaudioDeStefano.html NunzioOliva.html NicolaFemia.html
32. 2 Dougherty:2019:GI7 Genetic Algorithms for Affine Transformations to Existential t-Restrictions RyanDougherty.html ErinLanus.html CharlesJColbourn.html StephanieForrest.html
33. 1 Downing:2006:CEC Neutrality and gradualism: encouraging exploration and exploitation simultaneously with Binary Decision Diagrams RichardMarkDowning.html
34. 2 Eggermont:PPSN:2004 Detecting and Pruning Introns for Faster Decision Tree Evolution JeroenEggermont.html JoostKok.html WalterAKosters.html
35. 6 DBLP:conf/evoW/EscottMC23 Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing Kirita-RoseEscott.html HuiMa.html AaronChen.html
36. 1 Eskridge:2006:CEC An Analysis of Memetic Crossover's Impact on a Population BrentEEskridge.html DeanFHougen.html
37. 6 espada2022data Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming GuilhermeJorgeNunesMonteiroEspada.html LeonIngelse.html PauloAlexandreCanelasdosSantos.html PedroSantosBarbosa.html AlcidesFonseca.html
38. 22 FATHI:2018:ASC A genetic programming method for feature mapping to improve prediction of HIV-1 protease cleavage site AbdolhosseinFathi.html RasoolSadeghi.html
39. 2 Fernandez:PPSN:2004 Control of bloat in Genetic Programming by means of the Island Model FranciscoFernandezdeVega.html GermanGaleano.html JuanAntonioGomez.html JoseLuisGuisado.html
40. 12 fernandez:1998:nmisrGP Numeric Mutation as an Improvement to Symbolic Regression in Genetic Programming ThomasFernandez.html MatthewPEvett.html
41. 9 Ferrari:2022:ICDM Multi-Objective Symbolic Regression for Data-Driven Scoring System Management DavideFerrari.html VeronicaGuidetti.html FedericaMandreoli.html
42. 3 DBLP:phd/dnb/Fischer19 Machine learning in financial markets ThomasGFischer.html
43. 1 Fitzgerald:2014:cicsyn Selection Bias and Generalisation Error in Genetic Programming JeannieFitzgerald.html ConorRyan.html
44. 10 Foster:2021:ICTSS Reverse-Engineering EFSMs with Data Dependencies MichaelFoster.html JohnDerrick.html NeilWalkinshaw.html
45. 9 Fredericks:2023:GI Generative Art via Grammatical Evolution ErikMFredericks.html AbigailCDiller.html JaredMMoore.html
46. 2 Gandomi:2018:BEACON Multi-objective Genetic Programming for Classification and Regression Problems AHGandomi.html
47. 18 garrow:2022:ECADA Why Functional Program Synthesis Matters (In the Realm of Genetic Programming) FraserGarrow.html MichaelALones.html RobertStewart.html
48. 1 Goertzel:2006:CEC Identifying Complex Biological Interactions based on Categorical Gene Expression Data BenGoertzel.html CassioPennachin.html LuciodeSouzaCoelho.html MauricioMudado.html
49. 19 gold:2022:Student GUI-Based, Efficient Genetic Programming For Unity3D RobertGold.html AndrewHaydnGrant.html ErikHemberg.html ChathikaSGunaratne.html Una-MayO'Reilly.html
50. 1 Goodman:2022:sigevolution 2022 Humies Winners Awarded at GECCO in Boston! ErikGoodman.html
51. 2 Greig:2021:IGSS Generating Agent Based Models From Scratch With Genetic Programming RoryGreig.html JordiArranz.html
52. 8 Griffin:2023:GI DebugNS: Novelty Search for Finding Bugs in Simulators DavidGriffin.html SusanStepney.html IanVidamour.html
53. 11 blob_computing2004 BLOB Computing FredericGruau.html YvesLhuillier.html PhilippeReitz.html OlivierTemam.html
54. 2 Gulic:2013:MIPRO Evolution of vehicle routing problem heuristics with genetic programming MatijaGulic.html DomagojJakobovic.html
55. 1 Harper:2006:CECx A Self-Selecting Crossover Operator RobinHarper.html AlanBlair.html
56. 1 Hasegawa:2006:CEC Optimizing Programs with Estimation of Bayesian Network YoshihikoHasegawa.html HitoshiIba.html
57. 2 Helmuth:2020:ALife_lx Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection ThomasHelmuth.html LeeSpector.html
58. 1 Hernandez-Castro:2006:CEC Wheedham: An Automatically Designed Block Cipher by means of Genetic Programming JulioCesarHernandez-Castro.html JuanManuelEstevez-Tapiador.html DArturoRibagordaGarnacho.html BenjaminRamos-Alvarez.html
59. 1 Hoang:2006:CEC Solving Symbolic Regression Problems using Incremental Evaluation in Genetic Programming Tuan-HaoHoang.html DarylEssam.html RI_Bob_McKay.html NguyenXuanHoai.html
60. 17 hsu3:2002:gecco Genetic Programming And Multi-agent Layered Learning By Reinforcements WilliamHHsu.html StevenMGustafson.html
61. 1 Izumi:2006:CEC Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart YoshihiroIzumi.html TokiyoYamaguchi.html ShingoMabu.html KotaroHirasawa.html JingluHu.html
62. 2 DBLP:conf/flairs/JohanssonKN04 The Truth is In There - Rule Extraction from Opaque Models Using Genetic Programming UlfJohansson.html RikardKonig.html LarsNiklasson.html
63. 2 Jordaan:PPSN:2004 Robust Inferential Sensors based on Ensemble of Predictors generated by Genetic Programming ElsaJordaan.html ArthurKKordon.html LeoChiang.html GuidoFSmits.html
64. 11 Kang:2023:GI Towards Objective-Tailored Genetic Improvement Through Large Language Models SungminKang.html ShinYoo.html
65. 1 Karakasis:2006:CEC Data Mining based on Gene Expression Programming and Clonal Selection VasileiosKKarakasis.html Andreas-GeorgiosStafylopatis.html
66. 1 Kiani-B:2006:CEC Automatic Text Summarization Using: Hybrid Fuzzy GA-GP ArmanKiani-B.html Mohammad-RAkbarzadeh-Totonchi.html
67. 2 Kim:PPSN:2004 Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines DaeEunKim.html
68. 1 Kordon:2006:CEC Future Trends in Soft Computing Industrial Applications ArthurKKordon.html
69. 8 Krauss:2023:GI Exploring the Use of Natural Language Processing Techniques for Enhancing Genetic Improvement OliverKrauss.html
70. 1 Krawiecy:2006:CEC Evolutionary Learning of Primitive-Based Visual Concepts KrzysztofKrawiec.html
71. 1 LaCava:2017:EuroGP A General Feature Engineering Wrapper for Machine Learning Using epsilon-Lexicase Survival WilliamLaCava.html JasonHMoore.html
72. 1 langdon:2006:CEC Finding Social Landscapes for PSOs via Kernels WilliamBLangdon.html RiccardoPoli.html
73. 1 langdon:2019:GI7 Genetic Improvement of Data gives double precision invsqrt WilliamBLangdon.html
74. 1 langdon:2023:EuroGP Genetic Improvement of LLVM Intermediate Representation WilliamBLangdon.html AfnanAl-Subaihin.html AymericBlot.html DavidClark.html
75. 8 langdon:2023:GI Genetic Improvement of OLC and H3 with Magpie WilliamBLangdon.html BradAlexander.html
76. 2 Li:PPSN:2004a An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies JinLi.html XinYao.html ColinMFrayn.html HabibGKhosroshahi.html SomakRaychaudhury.html
77. 1 Li:2006:CEC Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming JinLi.html SopeTaiwo.html
78. 1 Li:2017:AAAF Machine learning control of the turbulent wake past 3D bluff body RuiyingLi.html BerndRNoack.html LaurentCordier.html JacquesBoree.html FabienHarambat.html
79. 1 Li:2017:IFAC Machine learning control for drag reduction of a car model in experiment RuiyingLi.html BerndRNoack.html LaurentCordier.html JacquesBoree.html FabienHarambat.html
80. Jia-Hong_Liu:thesis Portfolio Investment Based on Neural Networks Jia-HongLiu.html
81. 1 Lopez-Ibanez:2022:sigevolution ACM SIGEVO Best Dissertation Award 2022 ManuelLopez-Ibanez.html
82. 3 luke:1997:csstcGP Co-evolving Soccer Softbot Team Coordination with Genetic Programming SeanLuke.html CharlesHohn.html JonathanFarris.html GaryJackson.html JamesAHendler.html
83. 1 Luo:2006:CEC Evolving Recurrent Linear-GP for Document Classification and Word Tracking XiaoLuo.html NurZincir-Heywood.html
84. 26 Lyytinen:2021:JIT Meta-human Systems = Humans + Machines That Learn KalleLyytinen.html JeffreyVNickerson.html JohnLeslieKing.html
85. 1 Mabu:2006:CECsarsa Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm ShingoMabu.html HiroyukiHatakeyama.html KotaroHirasawa.html JingluHu.html
86. 1 Marwala:2006:CEC Bayesian Training of Neural Networks Using Genetic Programming TshilidziMarwala.html
87. 25 Maslyaev:2022:CEC Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equation MikhailMaslyaev.html AlexanderHvatov.html
88. 13 McConaghy:2011:GPTP FFX: Fast, Scalable, Deterministic Symbolic Regression Technology TrentMcConaghy.html
89. 5 McDermott:2022:sigevolution Genetic Programming Benchmarks: Looking Back and Looking Forward JamesMcDermott.html GabrielKronberger.html PatrykOrzechowski.html LeonardoVanneschi.html LucaManzoni.html RomanTobiasKalkreuth.html MauroCastelli.html
90. 1 DBLP:journals/corr/abs-2111-00053 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding TNathanMundhenk.html MikelLandajuela.html RubenGlatt.html ClaudioPSantiago.html DanielMFaissol.html BrendenKylePetersen.html
91. 36 DBLP:conf/nips/MundhenkLGSFP21 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding TNathanMundhenk.html MikelLandajuela.html RubenGlatt.html ClaudioPSantiago.html DanielMFaissol.html BrendenKylePetersen.html
92. 1 Murata:2006:CEC Using Genetic Network Programming to Get Comprehensible Control Rules for Real Robots TadahikoMurata.html DaisukeOkada.html
93. 7 nachbar:1995 Genetic Programming RobertBNachbar.html
94. 1 Nicolau:2006:CEC Introducing Grammar Based Extensions for Grammatical Evolution MiguelNicolau.html IanDempsey.html
95. 2 Olson:2016:autoML TPOT: A Tree-based Pipeline Optimization Tool for Automating Data Science RandalSOlson.html JasonHMoore.html
96. 1 Owais:2006:CEC Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles SuhailSJOwais.html PavelKromer.html VaclavSnasel.html DusanHusek.html RomanNeruda.html
97. 17 Park:2013:CECa Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming NamyongPark.html KangilKim.html RI_Bob_McKay.html
98. 1 Pavlidis:2006:CEC Human Designed Vs. Genetically Programmed Differential Evolution Operators NicosGPavlidis.html VPPlagianakos.html DimitrisKTasoulis.html MichaelNVrahatis.html
99. 1 Petke:2019:GI7 A Survey of Genetic Improvement Search Spaces JustynaPetke.html BradAlexander.html EarlBarr.html AlexanderEIBrownlee.html MarkusWagner.html DavidRobertWhite.html
100. 13 DBLP:conf/gecco/PoliG09 Free lunches for neural network search RiccardoPoli.html MarioGraffGuerrero.html
101. 4 prachedes:2022:LEOL High-performance Cartesian Genetic Programming on GPU for the Inference of Gene Regulatory Networks using scRNA-Seq Time-Series Data LucianaPrachedes.html JoseEduardoHenriquesdaSilva.html HederSoaresBernardino.html ItamardeOliveira.html
102. 2 Pujol:PPSN:2004 Optimization via Parameter Mapping with Genetic Programming JoaoCarlosFigueiraPujol.html RiccardoPoli.html
103. 14 randall:2022:SymReg Bingo: A Customizable Framework for Symbolic Regression with Genetic Programming DavidLRandall.html TylerSTownsend.html JacobDeanHochhalter.html GeoffreyFBomarito.html
104. 2 Roberts:PPSN:2004 Cooperative Coevolution of Image Feature Construction and Object Detection MarkERoberts.html ElaClaridge.html
105. 2 conf/his/RodriguesL06 Genetic Programming with Incremental Learning for Grammatical Inference ErnestoLMRodrigues.html HeitorSilverioLopes.html
106. 7 Rosca:1994:hsoGP Hierarchical Self-Organization in Genetic Programming JustinianRosca.html DanaHBallard.html
107. 8 Rosenfeld:2022:WIVACE EGSGP: an Ensemble System Based on Geometric Semantic GeneticProgramming LiahRosenfeld.html LeonardoVanneschi.html
108. 1 Ross:2006:CEC Evolutionary Image Synthesis Using a Model of Aesthetics BrianJRoss.html WilliamRalph.html HaiZong.html
109. 1 Russo:2014:CILAMCE Evolu\cc\~ao gramatical massivamente paralela com OpenCL via compila\cc\~ao dos modelos candidatos IgorLSRusso.html HederSoaresBernardino.html HelioJCBarbosa.html
110. 2 Russo:2014:CILAMCE2 Evolucao gramatical massivamente paralela IgorLSRusso.html HederSoaresBernardino.html HelioJCBarbosa.html
111. 1 Sanchez:2006:CEC Enhanced Test Program Compaction Using Genetic Programming ErnestoSanchez.html MassimilianoSchillaci.html GiovanniSquillero.html
112. 1 Sarafopoulos:2006:CEC Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms AnargyrosSarafopoulos.html BernardBuxton.html
113. 4 Segatori:thesis Classification Algorithms for Big Data over distributed processing frameworks ArmandoSegatori.html
114. 1 Sekanina:2006:CEC Extrinsic and Intrinsic Evolution of Multifunctional Combinational LukasSekanina.html TomasMartinek.html ZbysekGajda.html
115. 2 Shahnazari:2014:IJCE Evolutionary-based approaches for settlement prediction of shallow foundations on cohesionless soils HabibShahnazari.html MohamedShahin.html MohammadAminTutunchian.html
116. 1 Sharma:thesis Experimental Investigations of the Mechanical, Wear and Biocompatible Properties of Nickel-Titanium Alloy NeerajSharma.html
117. 1 Shum:2006:CEC Learning non-overlapping rules A method based on Functional Dependency Network and MDL Genetic Programming Wing-HoShum.html Kwong-SakLeung.html ManLeungWong.html
118. 2 Sipper:2020:Programmatic_Boosting Programmatic Boosting MosheSipper.html JasonHMoore.html
119. 1 Sipper:2022:sigevolution EC-KitY: Evolutionary Computation Tool-kit in Python MosheSipper.html
120. 2 Smith:PPSN:2004 Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector MatthewGSmith.html LarryBull.html
121. 1 Stomeo:2006:CEC A Novel Genetic Algorithm for Evolvable Hardware EmanueleStomeo.html TatianaKalganova.html CyrilleLambert.html
122. 52 Suganuma:thesis A Study on Salient Event Detection in Videos MasanoriSuganuma.html
123. 1 Suseela:2022:ICARCV A Comparative Study on Machine Learning algorithms for Knowledge Discovery SiddeshSambasivamSuseela.html YangFeng.html KezhiMao.html
124. 1 Teytaud:2006:CEC Why Simulation-Based Approaches with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions OlivierTeytaud.html
125. 3 phd/dnb/Thorhauer17 Bias and locality in grammatical evolution AnnThorhauer.html
126. 1 Torben-Nielsen:2006:CEC Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method BenTorben-Nielsen.html KarlTuyls.html EricOPostma.html
127. 1 DBLP:journals/cys/VazquezLG19 Learning Relevant Models using Symbolic Regression for Automatic Text Summarization EderVazquezVazquez.html YuliaNikolaevnaLedeneva.html ReneArnulfoGarciaHernandez.html
128. 1 Wappler:2006:CEC Evolutionary Unit Testing Of Object-Oriented Software Using A Hybrid Evolutionary Algorithm StefanWappler.html JoachimWegener.html
129. 27 Watkinson:2023:GI Updating Gin’s profiler for current Java MylesWatkinson.html AlexanderEIBrownlee.html
130. 1 HuayangXie:2006:CEC A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming HuayangJasonXie.html MengjieZhang.html PeterAndreae.html
131. 1 Zhang:2006:CEC Looseness Controlled Crossover in GP for Object Recognition MengjieZhang.html Xiaoying_Sharon_Gao.html Weijun_Norman_Lou.html
132. 5 Zuo:2022:ITW Symbolic Regression for Data Storage with Side Information XiangwuZuo.html Anxiao_Andrew_Jiang.html NetanelRaviv.html PaulHSiegel.html

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