Changes to Genetic Programing Bibliography since 2016/12/10

New and modified entries


  1. bo-ka-09 Towards Multi-movement Hand Prostheses: Combining Adaptive Classification with High Precision Sockets AlexanderBoschmann.html PaulKaufmann.html MarcoPlatzner.html MichaelWinkler.html
  2. Dobai:2015:TRETS Low-Level Flexible Architecture with Hybrid Reconfiguration for Evolvable Hardware RolandDobai.html LukasSekanina.html
  3. Fitzgerald:2015:ECTArevised GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification JeannieFitzgerald.html RMuhammadAtifAzad.html ConorRyan.html
  4. Fitzgerald:2015:FSOWrevised Adjudicated GP: A Behavioural Approach to Selective Breeding JeannieFitzgerald.html ConorRyan.html
  5. gl-gr-08 Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control KyrreHaraldGlette.html ThiemoGruber.html PaulKaufmann.html JimTorresen.html BernhardSick.html MarcoPlatzner.html
  6. gl-to-08 A Comparison of Evolvable Hardware Architectures for Classification Tasks KyrreHaraldGlette.html JimTorresen.html PaulKaufmann.html MarcoPlatzner.html
  7. gl-ka-13a Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface KyrreHaraldGlette.html PaulKaufmann.html ChristopherAssad.html MichaelTWolf.html
  8. gl-ka-14a Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System KyrreHaraldGlette.html PaulKaufmann.html
  9. ho-ka-pl-14a Towards Self-Adaptive Caches: a Run-Time Reconfigurable Multi-Core Infrastructure NamHo.html PaulKaufmann.html MarcoPlatzner.html
  10. ho-ah-ka-15a Microarchitectural Optimization by Means of Reconfigurable and Evolvable Cache Mappings NamHo.html AbdullahFathiAhmed.html PaulKaufmann.html MarcoPlatzner.html
  11. Jaiyeola:2015:LENFI Modelling Streamflow-Sediment Relationship Using Genetic Programming AdesojiTunbosunJaiyeola.html
  12. Jaiyeola:masters Estimation of suspended sediment yield flowing into Inanda Dam using genetic programming AdesojiTunbosunJaiyeola.html
  13. ka-pl-06a Multi-objective Intrinsic Hardware Evolution PaulKaufmann.html MarcoPlatzner.html
  14. ka-pl-07a Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution PaulKaufmann.html MarcoPlatzner.html
  15. ka-pl-07 MOVES: A Modular Framework for Hardware Evolution PaulKaufmann.html MarcoPlatzner.html
  16. ka-pl-pl-2009 EvoCaches: Application-specific Adaptation of Cache Mappings PaulKaufmann.html ChristianPlessl.html MarcoPlatzner.html
  17. ka-en-pl-10a Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms PaulKaufmann.html KevinEnglehart.html MarcoPlatzner.html
  18. ka-gl-pl-12a Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture PaulKaufmann.html KyrreHaraldGlette.html MarcoPlatzner.html JimTorresen.html
  19. ka-gl-gr-12a Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers PaulKaufmann.html KyrreHaraldGlette.html ThiemoGruber.html MarcoPlatzner.html JimTorresen.html BernhardSick.html
  20. ka-13a Adapting Hardware Systems by Means of Multi-Objective Evolution PaulKaufmann.html
  21. ka-14a Multikriterielle Evolution adaptiver eingebetteter Systeme PaulKaufmann.html
  22. ka-sh-15a Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing PaulKaufmann.html CongShen.html
  23. Kiani:2016:jmce New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach BehnamKiani.html AHGandomi.html SiavashSajedi.html RobertYLiang.html
  24. kn-de-08 On Robust Evolution of Digital Hardware TobiasKnieper.html BertrandDefo.html PaulKaufmann.html MarcoPlatzner.html
  25. kn-ka-gl-10a Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture TobiasKnieper.html PaulKaufmann.html KyrreHaraldGlette.html MarcoPlatzner.html JimTorresen.html
  26. langdon:2017:ieeeblog BarraCUDA in the Cloud WilliamBLangdon.html BobDavidson.html
  27. langdon:2017:EuroGP Visualising the Search Landscape of the Triangle Program WilliamBLangdon.html NadarajenVeerapen.html GabrielaOchoa.html
  28. Mrazek:2016:PATMOS Automatic Design of Arbitrary-Size Approximate Sorting Networks with Error Guarantee VojtechMrazek.html ZdenekVasicek.html
  29. Mrazek:2016:ICCAD Design of Power-efficient Approximate Multipliers for Approximate Artificial Neural Networks VojtechMrazek.html SyedShakibSarwar.html LukasSekanina.html ZdenekVasicek.html KaushikRoy.html
  30. Olague2011 Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming GustavoOlague.html LeonardoTrujillo.html
  31. Olague20122566 Interest point detection through multiobjective genetic programming GustavoOlague.html LeonardoTrujillo.html
  32. DBLP:journals/jca/OzturkeriJ11 Evolution of Self-Assembling Patterns in Cellular Automata Using Development CanOzturkeri.html ColinGJohnson.html
  33. Phelan:2016:sigevo Bullwhips \& Beer: Grammatical Evolution in Supply Chains! MichaelPhelan.html
  34. Sanchez-Clemente:2016:ieeeTReliability Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches AntonioJoseSanchez-Clemente.html LuisAlfonsoEntrenaArrontes.html RadekHrbacek.html LukasSekanina.html
  35. sh-ka-br-14b A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm CongShen.html PaulKaufmann.html MartinBraun.html
  36. sh-ka-br-14a Optimizing the Generator Start-up Sequence After a Power System Blackout CongShen.html PaulKaufmann.html MartinBraun.html
  37. Vasicek:2016:FPL Search-Based Synthesis of Approximate Circuits Implemented into FPGAs ZdenekVasicek.html LukasSekanina.html


  1. 16 angeline:1997:tcbbe Subtree Crossover: Building Block Engine or Macromutation? PeterJohnAngeline.html
  2. 4 Chakraborti:2015:csdc Data-driven paradigms of EvoNN and BioGP NirupamChakraborti.html
  3. 1 dolado:1999:lmsce Limits to the Methods in Software Cost Estimation JoseJavierDoladoCosin.html
  4. 1 feldt:1999:GPxtxsdp Genetic Programming as an Explorative Tool in Early Software Development Phases RobertFeldt.html
  5. 4 Fitzgerald:2015:ECTA GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution JeannieFitzgerald.html RMuhammadAtifAzad.html ConorRyan.html
  6. 1 Fitzgerald:2015:FSOW For Sale or Wanted: Directed Crossover in Adjudicated Space JeannieFitzgerald.html ConorRyan.html
  7. 1 iba:1885:rgn Recombination Guidance for Numerical Genetic Programming HitoshiIba.html TaisukeSato.html HugodeGaris.html
  8. 1 Kocsis:2016:GI Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction ZoltanKocsis.html JohnHDrake.html DouglasCarson.html JerrySwan.html
  9. 5 langdon:2015:csdc Software is Not Fragile WilliamBLangdon.html JustynaPetke.html
  10. 2 langdon:2016:GI Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs WilliamBLangdon.html AlbertVilella.html BrianYeeHongLam.html JustynaPetke.html MarkHarman.html
  11. 1 Langdon:2016:GPEM Genetic Improvement of GPU Software WilliamBLangdon.html BrianYeeHongLam.html MarcModat.html JustynaPetke.html MarkHarman.html
  12. 4 Miller:2015:csdc Cartesian Genetic Programming JulianFMiller.html
  13. 1 oneill:1999:aghlfea Automatic Generation of High Level Functions using Evolutionary Algorithms MichaelO'Neill.html ConorRyan.html
  14. 2 Petke:2016:GPEM Preface to the Special Issue on Genetic Improvement JustynaPetke.html
  15. 2 Ryan:1999:SCASE Evolving Equivalent Parallel Programs: Sequences and Iterative Instructions ConorRyan.html LaurIvan.html
  16. 1 schulte10:_autom_progr_repair_evolut_assem_code Automated Program Repair through the Evolution of Assembly Code EricSchulte.html StephanieForrest.html WestleyWeimer.html
  17. 4 Spector:2015:csdc Automatic Programming via Evolution LeeSpector.html
  18. 3 SS-EvoQP-06 Evolving Quantum Programs and Protocols SusanStepney.html JohnAClark.html
  19. 1 Vasicek:2016:GPEMa Trading between quality and non-functional properties of median filter in embedded systems ZdenekVasicek.html VojtechMrazek.html
  20. 1 Wappler:2007:ASE Improving evolutionary class testing in the presence of non-public methods StefanWappler.html InaSchieferdecker.html
  21. 1 Yeboah-Antwi:2016:GPEM Online Genetic Improvement on the java virtual machine with ECSELR KwakuYeboah-Antwi.html BenoitBaudry.html

New and modified entries