Changes to Genetic Programing Bibliography since 2024/11/01
New and modified entries
New
- Abdollahzadeh:2016:CC
Predicting of compressive strength of recycled aggregate concrete by genetic programming
GholamrezaAbdollahzadeh.html
EhsanJahani.html
ZahraKashir.html
- Abdulkarimova:2025:GPEM
Harnessing evolutionary algorithms for enhanced characterization of ENSO events
UlviyaAbdulkarimova.html
RodrigoAbarcaDelRio.html
PierreCollet.html
- DBLP:conf/eurocast/AffenzellerBDDH19
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems
MichaelAffenzeller.html
BogdanBurlacu.html
ViktoriaDorfer.html
SebastianDorl.html
GerhardHalmerbauer.html
TilmanKoenigswieser.html
MichaelKommenda.html
JuliaVetter.html
StephanMWinkler.html
- Babic:2024:sv-jme
Selective Laser Melting: A Novel Method for Surface Roughness Analysis
MatejBabic.html
MihaKovacic.html
CristianoFragassa.html
RomanSturm.html
- boldi2022environmentaldiscontinuityhypothesisdownsampled
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection
RyanBoldi.html
ThomasHelmuth.html
LeeSpector.html
- Boldi:2024:ALife
Untangling the Effects of Down-Sampling and Selection in Genetic Programming
RyanBoldi.html
AshleyBao.html
MartinBriesch.html
ThomasHelmuth.html
DominikSobania.html
LeeSpector.html
AlexanderLalejini.html
- Boldi:ECJ
Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving
RyanBoldi.html
MartinBriesch.html
DominikSobania.html
AlexanderLalejini.html
ThomasHelmuth.html
FranzRothlauf.html
CharlesOfria.html
LeeSpector.html
- Callan:2025:ASE
Multi-objective improvement of Android applications
JamesCallan.html
JustynaPetke.html
- Cano:2025:GPEM
Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming
JorgeCano.html
JoseIgnacioHidalgoPerez.html
OscarGarnica.html
- Chavan:2013:IJERA
Shear Strength of Slender Reinforced Concrete Beams without Web Reinforcement
RSChavan.html
PrashantMPawar.html
- defranca2023interpretablesymbolicregressiondata
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
FabricioOlivettideFranca.html
MarcoVirgolin.html
MichaelKommenda.html
MaimunaMajumder.html
MilesCranmer.html
GuilhermeJorgeNunesMonteiroEspada.html
LeonIngelse.html
AlcidesFonseca.html
MikelLandajuela.html
BrendenKylePetersen.html
RubenGlatt.html
TNathanMundhenk.html
ChakShingLee.html
JacobDeanHochhalter.html
DavidLRandall.html
Pierre-AlexandreKamienny.html
HengzheZhang.html
GrantDick.html
AlessandroSimon.html
BogdanBurlacu.html
JaanKasak.html
MeeraMachado.html
CasperWilstrup.html
WilliamLaCava.html
- Degtyarev:2022:SCS
Design models for predicting shear resistance of studs in solid concrete slabs based on symbolic regression with genetic programming
VitaliyVDegtyarev.html
StephenJHicks.html
JeromeFHajjar.html
- ding:2022:LEOL
Lexicase Selection at Scale
LiDing.html
RyanBoldi.html
ThomasHelmuth.html
LeeSpector.html
- Dolson:2018:PeerJ
Ecological theory provides insights about evolutionary computation
EmilyDolson.html
WolfgangBanzhaf.html
CharlesOfria.html
- Dolson_grad.msu_0128D_16624
On the constructive power of ecology in open-ended evolving systems
EmilyDolson.html
- Dong:ieeeTEC
Evolving Equation Learner For Symbolic Regression
JunlanDong.html
JinghuiZhong.html
WeiliLiu.html
JunZhang.html
- El-Baroudy:2008:hydropredict
Identification and Quantification of the Soil Moisture Response to the Atmospheric Forcing
IbrahimEl-Baroudy.html
AminElshorbagy.html
- Garg:2020:IJER
Aging model development based on multidisciplinary parameters for lithium-ion batteries
AkhilGarg.html
ShaosenSu.html
LiangGao.html
XiongbinPeng.html
PrashantBaredar.html
- GilGala:2024:AI
Evolving routing policies for electric vehicles by means of genetic programming
FranciscoJavierGilGala.html
MarkoDurasevic.html
DomagojJakobovic.html
- DBLP:conf/eurocast/HaiderK22
Shape-Constrained Symbolic Regression with NSGA-III
ChristianHaider.html
GabrielKronberger.html
- Haut:ieeeTEC
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
NathanielHaut.html
WolfgangBanzhaf.html
WilliamFPunch.html
- Kalkreuth:2024:sigevolution
Drifting and Evolving: The graph-based Genetic Programming community has entered a new Era
RomanTobiasKalkreuth.html
- DBLP:conf/eurocast/KammererKK22
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization
LukasKammerer.html
GabrielKronberger.html
MichaelKommenda.html
- Kocherovsky:2024:ALife
Crossover Destructiveness in Cartesian versus Linear Genetic Programming
MarkKocherovsky.html
WolfgangBanzhaf.html
- langdon:2024:ASE
Deep Imperative Mutations have Less Impact
WilliamBLangdon.html
DavidClark.html
- Larkin:thesis
Artificial Evolution Approaches to Address the Data Challenges Encountered During Financial Forecasting
FiaccLarkin.html
- Liou:TELO
Evolving to find optimizations humans miss: using evolutionary computation to improve GPU code for bioinformatics applications
Jhe-YuLiou.html
MuaazGulAwan.html
KirtusLeyba.html
PetrSulc.html
StevenAHofmeyr.html
Carole-JeanWu.html
StephanieForrest.html
- Mahdinejad:thesis
Optimizing Convolutional Neural Network Segmentation Tasks Using Evolutionary Algorithms
MahsaMahdinejad.html
- Minns:thesis
Artificial Neural Networks as Subsymbolic Process Descriptors
AnthonyWMinns.html
- Murphy:2024:GPEM
An investigation into structured grammatical evolution initialisation
AidanMurphy.html
MahsaMahdinejad.html
AnthonyVentresque.html
NunoLourenco.html
- DBLP:journals/cma/MuszynskiVBSK12
Convergence analysis of evolutionary algorithms in the presence of crash-faults and cheaters
JakubMuszynski.html
SebastienVarrette.html
PascalBouvry.html
FranciszekSeredynski.html
SameeUllahKhan.html
- Nemeth:2024:ALife
Phenotypic Species Definitions for Genetic Improvement of Source Code
ZsoltNemeth.html
PenelopeFaulknerRainford.html
BarryPorter.html
- Ochoa:2024:sigevolution
The 2024 ACM SIGEVO Outstanding Contribution Awardees: Prof. Dr. Franz Rothlauf, Information Systems, University of Mainz, Germany
GabrielaOchoa.html
- DBLP:conf/eurocast/ParraJGVGCH22
Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification
DanielParraRodriguez.html
DavidJoedicke.html
AlbertoGutierrez.html
JoseManuelVelascoCabo.html
OscarGarnica.html
JManuelColmenar.html
JoseIgnacioHidalgoPerez.html
- DBLP:conf/eurocast/PiringerWHFSA22
Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints
DavidPiringer.html
StefanWagner.html
ChristianHaider.html
ArminFohler.html
SiegfriedSilber.html
MichaelAffenzeller.html
- DBLP:conf/synasc/RolandKB22
Application of Symbolic Regression in Polymer Processing
WolfgangRoland.html
MichaelKommenda.html
GeraldRomanBerger-Weber.html
- Rosenfeld:2025:GPEM
A survey on batch training in genetic programming
LiahRosenfeld.html
LeonardoVanneschi.html
- Santos:thesis
Adaptacao de algoritmos hibridos baseados em aprendizagem de maquinas para aplicacao em problemas na area de Saude com bases de dados desbalanceadas
LaercioIvesSantos.html
- shahrzad:telo24
EVOTER: Evolution of Transparent Explainable Rule sets
HormozShahrzad.html
BabakHodjat.html
RistoMiikkulainen.html
- DBLP:conf/aaaifs/SpectorKP04
Tags and the Evolution of Cooperation in Complex Environments
LeeSpector.html
JonKlein.html
ChristopherHPerry.html
- DBLP:conf/eurocast/StroblVHKW22
Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments
MarinaStrobl.html
JuliaVetter.html
GerhardHalmerbauer.html
TilmanKoenigswieser.html
StephanMWinkler.html
- Syed:thesis
Data driven modelling for environmental water management
MofazzalHaiderSyed.html
- Turner:2024:CACM
Neural Architecture Search as Program Transformation Exploration
JackTurner.html
ElliotJCrowley.html
MichaelFPO'Boyle.html
- Vroomans:2025:GPEM
Review: ``Computational evolution of neural and morphological development'', Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 2023
RenskeVroomans.html
- Peng_Wang:ECJ
Genetic Programming for Automatically Evolving Multiple Features to Classification
PengWang2.html
BingXue.html
JingLiang.html
MengjieZhang.html
- idea_3422_OBJ
On the interplay of architecture and collaboration on software evolution and maintenance
SunnyWong.html
Modified
- 1 abdulkarimova:2019:ajhpc
The PARSEC machine: a non-Newtonian supra-linear super-computer
UlviyaAbdulkarimova.html
AnnaOuskovaLeonteva.html
ChristianRolando.html
AnneJeannin-Girardon.html
PierreCollet.html
- 1 Affenzeller:2022:GPTP
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
BogdanBurlacu.html
MichaelKommenda.html
GabrielKronberger.html
StephanMWinkler.html
MichaelAffenzeller.html
- 1 Afzal2009
A systematic review of search-based testing for non-functional system properties
WasifAfzal.html
RichardTorkar.html
RobertFeldt.html
- 4 Ahluwalia:2001:SA
Coevolving functions in genetic programming
ManuAhluwalia.html
LarryBull.html
- 1 ahmed:2020:IJDC
A novel genetic-programming based differential braking controller for an 8x8 combat vehicle
MoatazAhmed.html
MoustafaEl-Gindy.html
HaoxiangLang.html
- 2 Albinati:2014:SMGP
A Study of Semantic Geometric Crossover Operators in Regression Problems
JulioAlbinati.html
GiseleLPappa.html
FernandoEstebanBarrilOtero.html
LuizOtavioVilasBoasOliveira.html
- 1 Ali:thesis
Intelligent Decision Making Ensemble Classification System for Breast Cancer Prediction
SafdarAli.html
- 3 Antonelli:2013:NAFIPS
Evolutionary Fuzzy Classifiers for Imbalanced Datasets: An Experimental Comparison
MichelaAntonelli.html
PietroDucange.html
FrancescoMarcelloni.html
ArmandoSegatori.html
- 2 Azad:2014:EC
A Simple Approach to Lifetime Learning in Genetic Programming based Symbolic Regression
RMuhammadAtifAzad.html
ConorRyan.html
- 29 Babu:2023:ICAEECI
OCR-Based Multi-class Classification of Hate Speech in Images
NithishBabuM.html
PreethiP.html
- 1 Bakurov:thesis
Soft computing for Ill Posed Problems in Computer Vision
IllyaBakurov.html
- 1 Bakurov:2024:GPEM
Geometric semantic genetic programming with normalized and standardized random programs
IllyaBakurov.html
JoseManuelMunozContreras.html
MauroCastelli.html
NunoMiguelRodriguesDomingos.html
SaraSilva.html
LeonardoTrujillo.html
LeonardoVanneschi.html
- 1 Baltes:2020:GI9
An Annotated Dataset of Stack Overflow Post Edits
SebastianBaltes.html
MarkusWagner.html
- 2 Banzhaf:2024:GPEM
``The physics of evolution'' by Michael W. Roth, CRC press, 2023
WolfgangBanzhaf.html
- 1 Batenkov:2010:HIG:1836543.1836558
Hands-on introduction to genetic programming
DmitryBatenkov.html
- 1 Batista:mastersthesis
Studying elements of genetic programming for multiclass classification
JoaoEBatista.html
- 1 Batot:2022:SSM
Promoting social diversity for the automated learning of complex MDE artifacts
EdouardBatot.html
HouariSahraoui.html
- 2 benabdallah:2023:AJSE
Active Contour Extension Basing on Haralick Texture Features, Multi-gene Genetic Programming, and Block Matching to Segment Thyroid in 3D Ultrasound Images
FatmaZohraBenabdallah.html
LeilaDjerou.html
- 7 BiYing:ieeeTEC
A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification
YingBi.html
JingLiang.html
BingXue.html
MengjieZhang.html
- 1 Blot:2024:GI
Automated Software Performance Improvement with Magpie
AymericBlot.html
- 1 Bokhari:2020:GI9
Genetic Improvement of Software Efficiency: The Curse of Fitness Estimation
MahmoudABokhari.html
MarkusWagner.html
BradAlexander.html
- 2 boldi:2023:GECCOcomp
The Problem Solving Benefits of Down-Sampling Vary by Selection Scheme
RyanBoldi.html
AshleyBao.html
MartinBriesch.html
ThomasHelmuth.html
DominikSobania.html
LeeSpector.html
AlexanderLalejini.html
- 3 SAND2005-0014
Graduated Embodiment for Sophisticated Agent Evolution and Optimization
MarkBoslough.html
MichaelDPeters.html
ArthurinePierson.html
- 1 Buccheri:2024:JPT
Appendicular Skeletal Muscle Mass in Older Adults Can Be Estimated With a Simple Equation Using a Few Zero-Cost Variables
EnricoBuccheri.html
DanieleDell'Aquila.html
MarcoRusso.html
RitaChiaramonte.html
MicheleVecchio.html
- 23 cano:2023:GECCOcomp
Hardware Design of a Model Generator Based on Grammars and Cartesian Genetic Programming for Blood Glucose Prediction
JorgeCano.html
JoseIgnacioHidalgoPerez.html
OscarGarnica.html
JLanchares.html
- 1 PhD_Thesis_Liwei_Cao_revised_version
Combining artificial intelligence and robotic system in chemical product/process design
LiweiCao.html
- 2 Card:2008:GPTP
An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs
StuCard.html
ChilukuriKMohan.html
- 2 Castelli:2014:SMGP
The Influence of Population Size on Geometric Semantic GP
MauroCastelli.html
LucaManzoni.html
SaraSilva.html
LeonardoVanneschi.html
- 2 Castelli:2014:SMGP2
Self-tuning Geometric Semantic GP
MauroCastelli.html
LucaManzoni.html
SaraSilva.html
LeonardoVanneschi.html
- 1 chen:2022:FC
Orientation Design and Research of Heavy Bamboo Substrate Considering Genetic Programming and Artificial Intelligence Algorithm
WeiChen2.html
- 4 Chennupati:thesis
Grammatical Evolution + Multi-Cores = Automatic Parallel Programming!
GopinathChennupati.html
- 1 DBLP:journals/corr/CirilloLN14
Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series
SimoneCirillo.html
StefanLloyd.html
PeterNordin.html
- 3 Cohen:2023:GI
It's all in the Semantics: When are Genetically Improved Programs Still Correct?
MyraBCohen.html
- 2 Correia:2014:SMGP
Semantic Operators for Evolutionary Art
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
PenousalMachado.html
- 1 cranmer2023interpretablemachinelearningscience
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
MilesCranmer.html
- 1 Creevey:2023:SciRep
GASP: a genetic algorithm for state preparation on quantum computers
FloydMCreevey.html
CharlesDHill.html
LloydCLHollenberg.html
- 1 Custode:2023:ASC
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
LeonardoLucioCustode.html
FedericoMento.html
FrancescoTursi.html
AndreaSmargiassi.html
RiccardoInchingolo.html
TizianoPerrone.html
LibertarioDemi.html
GiovanniIacca.html
- 1 Angan:Das:thesis
Algorithms for Topology Synthesis of Analog Circuits
AnganDas.html
- 18 Das:2009:DATE
A graph grammar based approach to automated multi-objective analog circuit design
AnganDas.html
RangaVemuri.html
- 24 DEDOMENICO:2023:prostr
Machine-learning-enhanced variable-angle truss model to predict the shear capacity of RC elements with transverse reinforcement
DarioDeDomenico.html
GiuseppeQuaranta.html
QingcongZeng.html
GiorgioMonti.html
- 4 deFranca:ieeeTEC
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation
FabricioOlivettideFranca.html
MarcoVirgolin.html
MichaelKommenda.html
MaimunaMajumder.html
MilesCranmer.html
GuilhermeJorgeNunesMonteiroEspada.html
LeonIngelse.html
AlcidesFonseca.html
MikelLandajuela.html
BrendenKylePetersen.html
RubenGlatt.html
TNathanMundhenk.html
ChakShingLee.html
JacobDeanHochhalter.html
DavidLRandall.html
Pierre-AlexandreKamienny.html
HengzheZhang.html
GrantDick.html
AlessandroSimon.html
BogdanBurlacu.html
JaanKasak.html
MeeraMachado.html
CasperWilstrup.html
WilliamLaCava.html
- 26 conf/eurogp/DoucetteH08
GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation
JohnADoucette.html
MalcolmHeywood.html
- 1 FAN:2024:knosys
A genetic programming-based method for image classification with small training data
QinglanFan.html
YingBi.html
BingXue.html
MengjieZhang.html
- 1 Farinati:2024:evoapplications
GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks
DavideFarinati.html
LeonardoVanneschi.html
- 2 Farinati:2024:GPEM
A survey on dynamic populations in bio-inspired algorithms
DavideFarinati.html
LeonardoVanneschi.html
- 1 Fei:2015:MPM
Analysis of students perceptions of seafaring career in China based on artificial neural network and genetic programming
JiangangFei.html
Jian-JunLu.html
- 1 pmlr-v238-sen-fong24a
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data
KeiSenFong.html
MehulMotani.html
- 1 Fontbonne:2022:EuroGP
Cooperative Co-Evolution and Adaptive Team Composition for a Multi-Rover Resources Allocation Problem
NicolasFontbonne.html
NicolasMaudet.html
NicolasBredeche.html
- 1 Fredericks:2023:GI
Generative Art via Grammatical Evolution
ErikMFredericks.html
AbigailCDiller.html
JaredMMoore.html
- 1 DBLP:journals/corr/abs-1801-04407
Towards a more efficient representation of imputation operators in TPOT
UnaiGarciarenaHualde.html
AlexanderMendiburu.html
RobertoSantana.html
- 10 gearhart:2003:GPPSMDP
Genetic Programming as Policy Search in Markov Decision Processes
ChrisGearhart.html
- 1 Goebel:thesis
Towards reliable characterization and model-based evaluation of organic solvent nanofiltration
RebeccaGoebel.html
- 1 gold:2022:GPTP
GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D
RobertGold.html
AndrewHaydnGrant.html
ErikHemberg.html
ChathikaSGunaratne.html
Una-MayO'Reilly.html
- 2 Goschen:2022:CEC
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage
JarrodGoschen.html
AnnaSBosman.html
StefanGruner.html
- 5 gruau:1996:ceVdeGNN
A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks
FredericGruau.html
LDarrellWhitley.html
LarryDPyeatt.html
- 1 Gu:thesis
Static and Dynamic Analysis of Nonlinear Valve Springs Based on Finite Element Analysis and Machine Learning Algorithm
ZewenGu.html
- 1 Hamilton:2023:evoapplications
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning
JohnConnorRegoHamilton.html
AnikoEkart.html
AlinaPatelli.html
- 1 DBLP:journals/corr/abs-2308-00672
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
NathanielHaut.html
WolfgangBanzhaf.html
WilliamFPunch.html
- 1 Heaton:GPEM:deep_learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
JeffHeaton.html
- 1 hemberg2024evolvingcodelargelanguage
Evolving Code with A Large Language Model
ErikHemberg.html
StephenMoskal.html
Una-MayO'Reilly.html
- 2 Hemberg:2024:GPEM
Evolving code with a large language model
ErikHemberg.html
StephenMoskal.html
Una-MayO'Reilly.html
- 1 Hidalgo:2023:GPTP
Genetic Programming Techniques for Glucose Prediction in People with Diabetes
JoseIgnacioHidalgoPerez.html
JoseManuelVelascoCabo.html
DanielParraRodriguez.html
OscarGarnica.html
- 25 Hsu20122933
Improving the lighting performance of a 3535 packaged hi-power LED using genetic programming, quality loss functions and particle swarm optimization
Chih-MingHsu.html
- 2 Hu:2022:GPTP
Genetic Programming for Interpretable and Explainable Machine Learning
TingHu.html
- 1 Hussain:2023:GPTP
Let's Evolve Intelligence, Not Solutions
TalibSHussain.html
- 2 iba:1997:malrntGP
Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming
HitoshiIba.html
- 1 Islam:alife22
String: a programming language for the evolution of ribozymes in a new computational protocell model
MohiulIslam.html
NawwafKharma.html
PeterGrogono.html
- 2 Johanson98
GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters
BradleyEJohanson.html
RiccardoPoli.html
- 1 Johnson:2014:SMGPwork
Semantic Methods in Genetic Programming
ColinGJohnson.html
KrzysztofKrawiec.html
AlbertoMoraglio.html
MichaelO'Neill.html
- 2 Johnson:2014:SMGP
Information Theory, Fitness, and Sampling Semantics
ColinGJohnson.html
JohnRWoodward.html
- 1 keijzer03
Improving Symbolic Regression with Interval Arithmetic and Linear Scaling
MaartenKeijzer.html
- 1 khan:evoANNdev
Evolution of Artificial Neural Development: In search of learning genes
GulMuhammadKhan.html
- 1 Khandelwal:book
Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach
DhruvKhandelwal.html
- 2 Kocsis:2014:SMGP
Asymptotic Genetic Improvement Programming via Type Functors and Catamorphisms
ZoltanKocsis.html
JerrySwan.html
- 1 Kosorukov:2024:ASENIER
Mining for Mutation Operators for Reduction of Information Flow Control Violations
IlyaKosorukov.html
DanielBlackwell.html
DavidClark.html
MyraBCohen.html
JustynaPetke.html
- 1 Koza89
Hierarchical genetic algorithms operating on populations of computer programs
JohnKoza.html
- 3 Article:91:Koza:GeneticAlgoritm
A Hierarchical Approach to Learning the Boolean Multiplexer Function
JohnKoza.html
- 1 koza:book
Genetic Programming: On the Programming of Computers by Means of Natural Selection
JohnKoza.html
- 1 DBLP:journals/corr/abs-1903-09688
Symbolic Regression Methods for Reinforcement Learning
JiriKubalik.html
JanZegklitz.html
ErikDerner.html
RobertBabuska.html
- 2 LaCava:2021:NeurIPS
Contemporary Symbolic Regression Methods and their Relative Performance
WilliamLaCava.html
PatrykOrzechowski.html
BogdanBurlacu.html
FabricioOlivettideFranca.html
MarcoVirgolin.html
YingJin.html
MichaelKommenda.html
JasonHMoore.html
- 2 langdon:2008:CES-481
Genetic Programming for Drug Discovery
WilliamBLangdon.html
- 1 langdon:2020:GI9
Evolving sqrt into 1/x via Software Data Maintenance
WilliamBLangdon.html
OliverKrauss.html
- 2 langdon:2024:sigevolution
Searching the Genetic Programming Bibliography
WilliamBLangdon.html
- 2 Langdon:2024:EI
Sustaining Evolution for Shallow Embodied Intelligence
WilliamBLangdon.html
DanielHulme.html
- 1 conf/eurogp/LarkinR08
Good News: Using News Feeds with Genetic Programming to Predict Stock Prices
FiaccLarkin.html
ConorRyan.html
- 1 Lehman:2023:GPTP
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms
HerbieBradley.html
HongluFan.html
TheodorosGalanos.html
RyanZhou.html
DanielScott.html
JoelLehman.html
- 1 Liou:2022:IISWC
Understanding the Power of Evolutionary Computation for GPU Code Optimization
Jhe-YuLiou.html
MuaazGulAwan.html
StevenAHofmeyr.html
StephanieForrest.html
Carole-JeanWu.html
- 2 Lorway:2021:AIMC
Autopia: An AI collaborator for live networked computer music performance
NorahLorway.html
EdwardPowley.html
ArthurWilson.html
- 1 Lu:2022:RemoteSensing
Genetic Programming for High-Level Feature Learning in Crop Classification
MiaoLu.html
YingBi.html
BingXue.html
QiongHu.html
MengjieZhang.html
YanbingWei.html
PengYang.html
WenbinWu.html
- 1 luke:dissertation
Issues in Scaling Genetic Programming: Breeding Strategies, Tree Generation, and Code Bloat
SeanLuke.html
- 1 Lundh:2007:GPEM
Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Applications, and Analysis Authors: Andreas Deutsch and Sabine Dormann, Birkhauser, 2005, XXVI, 334 p., 131 illus., Hardcover. ISBN:0-8176-4281-1, List Price: \$89.95
TorbjornLundh.html
- 1 Machado:2022:GPTP
GP-Based Generative Adversarial Models
PenousalMachado.html
FranciscoBaeta.html
TiagoMartins.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
- 2 ijcai2024coin
From Pixels to Metal: AI-Empowered Numismatic Art
PenousalMachado.html
TiagoMartins.html
JoaoNunoGoncalvesCostaCavaleiroCorreia.html
LuisEspiritoSanto.html
NunoLourenco.html
JoaoMiguelCunha.html
SergioMRebelo.html
PedroMartins.html
JoaoBicker.html
- 38 Maheta:2015:ICCCI
Classification of imbalanced data sets using Multi Objective Genetic Programming
HardikHMaheta.html
VipulKDabhi.html
- 2 Maldonado:GPEM
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming
YazminMaldonadoRobles.html
RubenDarioSalasVillegas.html
JoelAntonioQuevedoFelix.html
RogelioValdez.html
LeonardoTrujillo.html
- 2 Mambrini:2014:SMGP
A framework for measuring the generalization ability of Geometric Semantic Genetic Programming (GSGP) for Black-Box Boolean Functions Learning
AndreaMambrini.html
YangYu2.html
XinYao.html
- 1 DBLP:journals/bmcbi/ManduchiFRRM20
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
ElisabettaManduchi.html
WeixuanFu.html
JosephDRomano.html
StefanoRuberto.html
JasonHMoore.html
- 1 Marginean_10137954_thesis_redacted
Automated Software Transplantation
AlexandruMarginean.html
- 1 journals/ijimai/MartinQI21
Dynamic Generation of Investment Recommendations Using Grammatical Evolution
CarlosMartin.html
DavidQuintanaMontero.html
PedroIsasiVinuela.html
- 2 Martinez:2016:GPEM
Prediction of expected performance for a genetic programming classifier
YulianaMartinez.html
LeonardoTrujillo.html
PierrickLegrand.html
EdgarGalvanLopez.html
- 1 journals/jetai/MartinezNTLL17
A comparison of fitness-case sampling methods for genetic programming
YulianaMartinez.html
EnriqueNaredo.html
LeonardoTrujillo.html
PierrickLegrand.html
UrielLopez.html
- 1 Maslyaev:2023:GECCOcomp
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery
MikhailAMaslyaev.html
AlexanderAHvatov.html
- 2 mckayabbass01:rtqrt
Anticorrelation Measures in Genetic Programming
RI_Bob_McKay.html
HusseinAAbbass.html
- 2 Moraglio:2014:SMGP
Geometric Semantic Grammatical Evolution
AlbertoMoraglio.html
JamesMcDermott.html
MichaelO'Neill.html
- 2 Moraglio:2014:SMGP2
An Efficient Implementation of GSGP using Higher-Order Functions and Memoization
AlbertoMoraglio.html
- 3 Mosayebi:2020:GI9
Tuning Genetic Algorithm Parameters using Design of Experiments
MohsenMosayebi.html
ManbirSSodhi.html
- 1 Moscato:2020:superconductor
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
PabloMoscato.html
MohammadNazmulHaque.html
KevinHuang.html
JuliaSloan.html
JonCdeOliveira.html
- 2 murphy:2023:GEWS2023
Initialisation in Structured Grammatical Evolution
AidanMurphy.html
NunoLourenco.html
AnthonyVentresque.html
- 2 murphy-thesis
Manipulating Convergence In Evolutionary Systems
GearoidMurphy.html
- 1 nadizar:2024:TELO
An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming
GiorgiaNadizar.html
LuigiRovito.html
AndreaDeLorenzo.html
EricMedvet.html
MarcoVirgolin.html
- 1 Nilsen:2023:GPEM
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms
MathiasKNilsen.html
TonnesFNygaard.html
KaiOlavEllefsen.html
- 5 Ombuki-Berman:2024:GPEM
Leonardo Vanneschi and Sara Silva: lectures on intelligent systems
BeatriceOmbuki-Berman.html
- 35 PATILSHINDE:2018:Calphad
Genetic programming based models for prediction of vapor-liquid equilibrium
VeenaPatil-Shinde.html
SanjeevSTambe.html
- 2 Pawlak:2014:SMGP
Guarantees of Progress for Geometric Semantic Genetic Programming
TomaszPawlak.html
KrzysztofKrawiec.html
- 1 Petke:2023:ESE
Program transformation landscapes for automated program modification using Gin
JustynaPetke.html
BradAlexander.html
EarlBarr.html
AlexanderEIBrownlee.html
MarkusWagner.html
DavidRobertWhite.html
- 1 Poli:1999:nio
Parallel Distributed Genetic Programming
RiccardoPoli.html
- 2 Prince:2021:evoapplications
A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
MichaelHPrince.html
KristianKDeHaan.html
DanielRTauritz.html
- 1 Quiroz:2017:IJCA
Interactive Shape Perturbation
JuanCQuiroz.html
SergiuMDascalu.html
- 1 radwan2024comparisonrecentalgorithmssymbolic
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
YousefARadwan.html
GabrielKronberger.html
StephanMWinkler.html
- 22 raghav:2024:GECCOcomp
Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy
SSanjithRaghav.html
STejeshKumar.html
RishiikeshBalaji.html
MSanjay.html
CShunmugaVelayutham.html
- 2 ramos-criado:ECJ
Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming
PabloRamosCriado.html
DoloresBarriosRolania.html
DaviddelaHozGaliana.html
DanielManriqueGamo.html
- 20 RAZAVI:2019:AE
A practical feature-engineering framework for electricity theft detection in smart grids
RouzbehRazavi.html
AminGharipour.html
MartinFleury.html
IkpeJusticeAkpan.html
- 1 Reid:2020:GI9
Optimising the Fit of Stack Overflow Code Snippets into Existing Code
BrittanyReid.html
ChristophTreude.html
MarkusWagner.html
- 1 Renzullo:2018:GI
Neutrality and Epistasis in Program Space
JosephRenzullo.html
WestleyWeimer.html
MelanieMoses.html
StephanieForrest.html
- 5 Ribeiro:2023:GPTP
TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning
PedroRibeiroMendesJunior.html
AnilKumarSaini.html
JayMoran.html
NicholasMatsumoto.html
HyunjunChoi.html
MiguelEHernandez.html
JasonHMoore.html
- 1 rosca:thesis
Hierarchical Learning with Procedural Abstraction Mechanisms
JustinianRosca.html
- 3 Rowe:2024:GPEM
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation
JonathanERowe.html
- 5 Sabar:2018:GECCO
A genetic programming based iterated local search for software project scheduling
NasserRSabar.html
AyadMashaanTurky.html
AndySong.html
- 2 DBLP:phd/dnb/Salustowicz03
Probabilistic Incremental Program Evolution
RafalSalustowicz.html
- 34 SANTOS:2022:ESA
Decision tree and artificial immune systems for stroke prediction in imbalanced data
LaercioIvesSantos.html
MuriloOsorioCamargos.html
MarcosFlavioSilveiraVasconcelosD'Angelo.html
JoaoBatistaMendes.html
EgydioEmilianoCamargosdeMedeiros.html
AndreLuizSenaGuimaraes.html
ReinaldoMartinezPalhares.html
- 1 Science09:Schmidt
Distilling Free-Form Natural Laws from Experimental Data
MichaelDSchmidt.html
HodLipson.html
- 1 Schmidt:2009:rebuttal
A Rebuttal to Christopher Hillar and Friedrich Sommer's Comment on Distilling Laws from Data
MichaelDSchmidt.html
HodLipson.html
- 1 schulte2014dissertation
Neutral Networks of Real-World Programs and their Application to Automated Software Evolution
EricSchulte.html
- 1 Sheneman:thesis
The evolution of neural plasticity in digital organisms
LeighSheneman.html
- 25 SHIRANIFARADONBEH:2024:AAIMGE
Chapter 12 - Application of artificial intelligence in distinguishing genuine microseismic events from the noise signals in underground mines
RoohollahShiraniFaradonbeh.html
MuhammadGhiffariRyoza.html
MohammadaliSepehri.html
- 1 Sipper2019tinyGP
Tiny Genetic Programming in Python
MosheSipper.html
- 1 conf/ibica/SlapakN14
Multiobjective Genetic Programming of Agent Decision Strategies
MartinSlapak.html
RomanNeruda.html
- 2 Spector:2024:GPEM
Chief editorship transition
LeeSpector.html
LeonardoTrujillo.html
- 2 Swan:2014:SMGP
Semantically-meaningful Numeric Constants for Genetic Programming
JerrySwan.html
JohnHDrake.html
KrzysztofKrawiec.html
- 2 swan:2014:SMGP2
Analysis of Semantic Building Blocks via Groebner Bases
JerrySwan.html
GeoffreyKNeumann.html
KrzysztofKrawiec.html
- 26 Tackett93
Genetic Generation of ``Dendritic'' Trees for Image Classification
WalterAldenTackett.html
- 3 Tackett:1994:thesis
Recombination, Selection, and the Genetic Construction of Computer Programs
WalterAldenTackett.html
- 1 Uusitalo:2024:GPEM
Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study
SeveriUusitalo.html
AnnaKantosalo.html
AnttiSalovaara.html
TapioTakala.html
ChristianGuckelsberger.html
- 1 VanneschiPoliHNC2011
Genetic Programming: Introduction, Applications, Theory and Open Issues
LeonardoVanneschi.html
RiccardoPoli.html
- 1 Vanneschi:book
Lectures on Intelligent Systems
LeonardoVanneschi.html
SaraSilva.html
- 32 DBLP:journals/asc/WanWZCBWZLG24
Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer
Han-WenWan.html
Meng-HanWu.html
Wen-ShanZhao.html
HanCheng.html
YingBi.html
Xian-FangWang.html
Xiang-RuiZhang.html
YanLi.html
Wei-FengGuo.html
- 1 wang:2024:CEC
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming
PengWang2.html
BingXue.html
JingLiang.html
MengjieZhang.html
- 3 Watkinson:2023:GI
Updating Gin's profiler for current Java
MylesWatkinson.html
AlexanderEIBrownlee.html
- 1 Wen:2016:CEC
Learning Ensemble of Decision Trees through Multifactorial Genetic Programming
Yu-WeiWen.html
Chuan-KangTing.html
- 1 Worm:thesis
Prioritized Grammar Enumeration: A novel method for symbolic regression
TonyWorm.html
- 10 Xing:2019:IBF
Automatic Software Merging using Automated Program Repair
XiaoqianXing.html
KatsuhisaMaruyama.html
- 6 Meng_Xu:ieeeTEC
Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling
MengXu.html
YiMei.html
FangfangZhang.html
MengjieZhang.html
- 1 yakubu:thesis
Supporting new product development using customers' online data and computational intelligence methods
HananYakubu.html
- 6 Yunhan_Yang:2021:CEC
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction
YunhanYang.html
BingXue.html
LinleyJesson.html
MengjieZhang.html
- 5 Zhang:ieeeTEC2
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method
HengzheZhang.html
AiminZhou.html
QiChen.html
BingXue.html
MengjieZhang.html
- 8 Hengzhe_Zhang:ieeeTEC
Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression
HengzheZhang.html
QiChen.html
BingXue.html
WolfgangBanzhaf.html
MengjieZhang.html
- 20 ZHANG:2022:knosys
Evolving ensembles using multi-objective genetic programming for imbalanced classification
LiangZhang2.html
KefanWang.html
LuyuanXu.html
WenjiaSheng.html
QiKang.html
New and modified entries