Changes to Genetic Programing Bibliography since 2013/04/14

New

1. Bergen:2013:GPEM Aesthetic 3D model evolution StevenBergen.html BrianJRoss.html
2. Byrne:2013:GPEM A methodology for user directed search in evolutionary design JonathanByrne.html ErikHemberg.html MichaelO'Neill.html AnthonyBrabazon.html
3. Cano:2013:JSUP High performance evaluation of evolutionary-mined association rules on GPUs AlbertoCanoRojas.html JoseMariaLuna.html SebastianVentura.html
4. Estebanez:2009:OTSCP Generating Automatic Projections by Means of Genetic Programming CesarEstebanez.html RicardoAlerMur.html
5. Harman:2013:STTT ALERTI: Adaptive Learning to Evolve Radical Tuning Iteratively MarkHarman.html YueJia.html WilliamBLangdon.html TimMenzies.html ShinYoo.html
6. Harvey:2013:HMSBS Automated extraction of damage features through genetic programming DustinYHarvey.html MichaelDTodd.html
7. Lakhotia:2013:SBST En Garde: Winning Coding Duels Through Genetic Programming KiranLakhotia.html
8. Langdon:2013:GECCOlb Which is faster: Bowtie2GP > Bowtie > Bowtie2 > BWA WilliamBLangdon.html
9. leitner2012marsterrain Mars Terrain Image Classification using Cartesian Genetic Programming JuergenLeitner.html SimonHarding.html AlexanderForster.html JurgenSchmidhuber.html
10. Li:2013:GPEM Learning aesthetic judgements in evolutionary art systems YangLi.html ChangjunHu.html LeandroLMinku.html HaoleiZuo.html
11. Manzoni:2013:GPEM A new genetic programming framework based on reaction systems LucaManzoni.html MauroCastelli.html LeonardoVanneschi.html
12. McDermott:2013:GPEM Graph grammars for evolutionary 3D design JamesMcDermott.html
13. Nguyen:2013:ieeeTEC_2 Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming SuNguyen.html MengjieZhang.html MarkJohnston.html KayChenTan.html
14. Nguyen:2013:EC Genetic Programming for Evolving Due-date Assignment Models in Job Shop Environments SuNguyen.html MengjieZhang.html MarkJohnston.html KayChenTan.html
15. Pappa:2013:GPEM Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms GiseleLPappa.html GabrielaOchoa.html MatthewRHyde.html AlexAlvesFreitas.html JohnRWoodward.html JerrySwan.html
16. Qian:2011:ASNB Gene Regulatory Networks Inference: Combining a Genetic Programming and H\_infinity Filtering Approach LijunQian.html HaixinWang.html XiangfangLi.html
17. Romero:2013:GPEM Guest editorial: special issue on biologically inspired music, sound, art and design JuanJesusRomeroCardalda.html PenousalMachado.html AdrianCarballal.html
18. Simon:EOA Evolutionary Optimization Algorithms DanSimon.html
19. Theodoridis:2013:ieeeHMS Modeling Aggressive Behaviors With Evolutionary Taxonomers TheodorosTheodoridis.html HuoshengHu.html
20. Vanneschi:2013:GPEM Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches LeonardoVanneschi.html MatteoMondini.html MartinoBertoni.html AlbertoRonchi.html MattiaStefano.html

Modified

1. 1 Cano:2010:HAIS Solving Classification Problems Using Genetic Programming Algorithms on GPUs AlbertoCanoRojas.html AmeliaZafraGomez.html SebastianVentura.html
2. 9 Cano:2013:JPDC Parallel multi-objective Ant Programming for classification using GPUs AlbertoCanoRojas.html JuanLuisOlmo.html SebastianVentura.html
3. 15 Cornforth:2013:GPEM Inference of hidden variables in systems of differential equations with genetic programming TheodoreWCornforth.html HodLipson.html
4. 1 eurogp06:DeFalcoDellaCioppaMaistoTarantino A Genetic Programming Approach to Solomonoff's Probabilistic Induction IvanoeDeFalco.html AntonioDellaCioppa.html DomenicoMaisto.html ErnestoTarantino.html
5. 4 langdon:2008:SC GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining WilliamBLangdon.html APHarrison.html
6. 2 Langdon:2012:emerald Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer WilliamBLangdon.html
7. 6 Langdon:RN1303 Which is faster: Bowtie2GP > Bowtie > Bowtie2 > BWA WilliamBLangdon.html
8. 1 Manson:2006:CEUS Land use in the southern Yucatan peninsular region of Mexico: Scenarios of population and institutional change StevenMManson.html
9. 2 McDermott:2012:EvoMUSART Graph Grammars as a Representation for Interactive Evolutionary 3D Design JamesMcDermott.html
10. 2 McDermott:2012:GECCO Genetic programming needs better benchmarks JamesMcDermott.html DavidRobertWhite.html SeanLuke.html LucaManzoni.html MauroCastelli.html LeonardoVanneschi.html WojciechJaskowski.html KrzysztofKrawiec.html RobinHarper.html KennethDeJong.html Una-MayO'Reilly.html
11. 1 Paramasivam:2009:ICSPS Evaluation of GP Model for Software Reliability SParamasivam.html MKumaran.html
12. 1 Preen:2013:EC Dynamical Genetic Programming in XCSF RichardPreen.html LarryBull.html
13. 1 Qian:2008:ieeeTSP Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering LijunQian.html HaixinWang.html EdwardRDougherty.html
14. 1 conf/wisi/QiaoTPFX06 VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming ShaojieQiao.html ChangjieTang.html JingPeng.html HongjianFan.html YongXiang.html
15. 6 Robilliard:2013:GPEM John H. Holland: Signals and boundaries: building blocks for complex adaptive systems DenisRobilliard.html
16. 1 Schmidt:2010:gecco Predicting solution rank to improve performance MichaelDSchmidt.html HodLipson.html
17. 6 Tao:2013:GPEM A module-level three-stage approach to the evolutionary design of sequential logic circuits YanyunTao.html YuzhenZhang.html JianCao.html YalongHuang.html
18. 5 Tsai:2013:GPEM Improving analytical models of circular concrete columns with genetic programming polynomials Hsing-ChihTsai.html Chan-PingPan.html
19. 1 White:2013:GPEM Better GP benchmarks: community survey results and proposals DavidRobertWhite.html JamesMcDermott.html MauroCastelli.html LucaManzoni.html BrianWGoldman.html GabrielKronberger.html WojciechJaskowski.html Una-MayO'Reilly.html SeanLuke.html

New and modified entries