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1Proceedings of the 2000 Congress on Evolutionary Computation CEC00
?. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
17 years ago by @brazovayeye
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agents,
algorithms,
and
applications,
biological
breast
cancer,
classifiers,
coevolution,
constraint
control
control,
controlling
cultural
design
design,
developement
devices
dynamic
ec
ec,
ecological
ecosystems,
engineering
evolutionary
evolvable
evolving
fitness,
fossil
foundations,
game
games
genetic
handling,
hardware,
hybrid
image
image/
information
intelligent
learning
like
local
markets,
medical
modeling
modeling/
modelling
modelling,
multi-agent
multi-objective
network
networks,
neural
new
novel
operations
optimization,
paradigms,
parallel
processing
processing,
programming,
record,
representations,
research
revisiting
robotic
scheduling,
search
search,
series
signal
spaces,
stroganoff,
system
systems
systems,
tasks,
techniques,
the
themes,
theory
time
agents,algorithms,andapplications,biologicalbreastcancer,classifiers,coevolution,constraintcontrolcontrol,controllingculturaldesigndesign,developementdevicesdynamicecec,ecologicalecosystems,engineeringevolutionaryevolvableevolvingfitness,fossilfoundations,gamegamesgenetichandling,hardware,hybridimageimage/informationintelligentlearninglikelocalmarkets,medicalmodelingmodeling/modellingmodelling,multi-agentmulti-objectivenetworknetworks,neuralnewnoveloperationsoptimization,paradigms,parallelprocessingprocessing,programming,record,representations,researchrevisitingroboticscheduling,searchsearch,seriessignalspaces,stroganoff,systemsystemssystems,tasks,techniques,thethemes,theorytime
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2AIM-GP and Parallelism
P. Nordin, F. Hoffmann, F. Francone, M. Brameier, and W. Banzhaf. Proceedings of the Congress on Evolutionary Computation, 2, page 1059--1066. Mayflower Hotel, Washington D.C., USA, IEEE Press, (6-9 July 1999)
17 years ago by @brazovayeye
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algorithms,
and
distributed
genetic
parallel
processing
programming,
algorithms,anddistributedgeneticparallelprocessingprogramming,
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2A Parallel Evolutionary Algorithm for High-Level Program Induction
P. Walsh. Proceedings of the Congress on Evolutionary Computation, 2, page 1027--1034. Mayflower Hotel, Washington D.C., USA, IEEE Press, (6-9 July 1999)
17 years ago by @brazovayeye
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algorithms,
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distributed
genetic
parallel
processing
programming,
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1GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining
W. Langdon, and A. Harrison. Soft Computing, (2008)Special Issue. On line first.
17 years ago by @brazovayeye
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1,
Affymetrix
C++
C17orf81,
GCC
GEO
GPU,
GSE3494
Graphics
HG-U133A,
HG-U133B,
Lance
Miller's
Processing
RapidMind
S-adenosylhomocysteine
SIMD,
Ubuntu
Unit,
Uppsala
algorithm,
algorithms,
biopsy,
breast
cancer,
computing,
consumer
data
decorin,
evolutionary
fibulin
genetic
graphics
hardware,
hydrolase,
mining,
parallel
programming,
soft
tumour
1,AffymetrixC++C17orf81,GCCGEOGPU,GSE3494GraphicsHG-U133A,HG-U133B,LanceMiller'sProcessingRapidMindS-adenosylhomocysteineSIMD,UbuntuUnit,Uppsalaalgorithm,algorithms,biopsy,breastcancer,computing,consumerdatadecorin,evolutionaryfibulingeneticgraphicshardware,hydrolase,mining,parallelprogramming,softtumour
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1Proceedings of the 2001 Congress on Evolutionary Computation CEC2001
?. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
17 years ago by @brazovayeye
show all tags
agents,
algorithms,
and
applications,
biological
breast
cancer,
classifiers,
coevolution,
constraint
control
control,
controlling
cultural
design
design,
developement
devices
dynamic
ec
ec,
ecological
ecosystems,
engineering
evolutionary
evolvable
evolving
fitness,
fossil
foundations,
game
games
genetic
handling,
hardware,
hybrid
image
image/
information
intelligent
learning
like
local
markets,
medical
modeling
modeling/
modelling
modelling,
multi-agent
multi-objective
network
networks,
neural
new
novel
operations
optimization,
paradigms,
parallel
processing
processing,
programming,
record,
representations,
research
revisiting
robotic
scheduling,
search
search,
series
signal
spaces,
stroganoff,
system
systems
systems,
tasks,
techniques,
the
themes,
theory
time
agents,algorithms,andapplications,biologicalbreastcancer,classifiers,coevolution,constraintcontrolcontrol,controllingculturaldesigndesign,developementdevicesdynamicecec,ecologicalecosystems,engineeringevolutionaryevolvableevolvingfitness,fossilfoundations,gamegamesgenetichandling,hardware,hybridimageimage/informationintelligentlearninglikelocalmarkets,medicalmodelingmodeling/modellingmodelling,multi-agentmulti-objectivenetworknetworks,neuralnewnoveloperationsoptimization,paradigms,parallelprocessingprocessing,programming,record,representations,researchrevisitingroboticscheduling,searchsearch,seriessignalspaces,stroganoff,systemsystemssystems,tasks,techniques,thethemes,theorytime
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1Proceedings of the 2000 Congress on Evolutionary Computation CEC00

2AIM-GP and Parallelism

2A Parallel Evolutionary Algorithm for High-Level Program Induction

1GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining

1Proceedings of the 2001 Congress on Evolutionary Computation CEC2001

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1Proceedings of the 2000 Congress on Evolutionary Computation CEC00

2AIM-GP and Parallelism

2A Parallel Evolutionary Algorithm for High-Level Program Induction

1GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining

1Proceedings of the 2001 Congress on Evolutionary Computation CEC2001

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