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1Effective Fitness as an Alternative Paradigm for Evolutionary Computation II: Examples and Applications
C. Stephens, and J. Vargas. Genetic Programming and Evolvable Machines, 2 (1): 7--32 (March 2001)
17 years ago by @brazovayeye
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algorithms,
breaking
effective
equations,
evolution
fitness
fitness,
genetic
genotype-phenotype
induced
landscape,
map,
symmetry
algorithms,breakingeffectiveequations,evolutionfitnessfitness,geneticgenotype-phenotypeinducedlandscape,map,symmetry
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1Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism
C. Stephens, and J. Vargas. Genetic Programming and Evolvable Machines, 1 (4): 363--378 (October 2000)
17 years ago by @brazovayeye
show all tags
algorithms,
breaking
effective
equations,
evolution
fitness
fitness,
genetic
genotype-phenotype
induced
landscape,
map,
symmetry
algorithms,breakingeffectiveequations,evolutionfitnessfitness,geneticgenotype-phenotypeinducedlandscape,map,symmetry
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2Evolving Music Generation with SOM-fitness Genetic Programming
S. Phon-Amnuaisuk, E. Law, and C. Ho. Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog, volume 4448 of LNCS, page 557--566. Valencia, Spain, Springer Verlag, (11-13 April 2007)
17 years ago by @brazovayeye
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Automatic
Features
Map,
Music
Self-Organising
algorithms,
generation
genetic
programming,
AutomaticFeaturesMap,MusicSelf-Organisingalgorithms,generationgeneticprogramming,
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2Convergence of Program Fitness Landscapes
W. Langdon. Genetic and Evolutionary Computation -- GECCO-2003, volume 2724 of LNCS, page 1702--1714. Chicago, Springer-Verlag, (12-16 July 2003)
17 years ago by @brazovayeye
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Neighborhood,
algorithms,
amorphous
average
bit
boolean
climbing,
computer
computer,
computing,
expected
fitness
flip
function,
general
genetic
hill
landscapes,
linear
map,
modulo
mutation,
point
programming
programming,
proof,
random
reversible
route
runtime,
Neighborhood,algorithms,amorphousaveragebitbooleanclimbing,computercomputer,computing,expectedfitnessflipfunction,generalgenetichilllandscapes,linearmap,modulomutation,pointprogrammingprogramming,proof,randomreversiblerouteruntime,
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1Genetic Parallel Programming: Design and Implementation
S. Cheang, K. Leung, and K. Lee. Evolutionary Computation, 14 (2): 129--156 (Summer 2006)
17 years ago by @brazovayeye
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ALU
GPP
MAP,
MIMD,
algorithms,
architecture,
genetic
linear
parallel
processor
programming,
ALUGPPMAP,MIMD,algorithms,architecture,geneticlinearparallelprocessorprogramming,
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1Effective Fitness as an Alternative Paradigm for Evolutionary Computation II: Examples and Applications

1Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism

2Evolving Music Generation with SOM-fitness Genetic Programming

2Convergence of Program Fitness Landscapes

1Genetic Parallel Programming: Design and Implementation

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publications (hide)5 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

1Effective Fitness as an Alternative Paradigm for Evolutionary Computation II: Examples and Applications

1Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism

2Evolving Music Generation with SOM-fitness Genetic Programming

2Convergence of Program Fitness Landscapes

1Genetic Parallel Programming: Design and Implementation

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