tag :: design, of algorithms,

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1Genetic Programming, Proceedings of EuroGP'2001
J. Miller, M. Tomassini, P. Lanzi, C. Ryan, A. Tettamanzi, and W. Langdon (Eds.) volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 years ago by @brazovayeye
show all tags
Active
Animat,
Arm,
Artificial
BDD,
Bloat,
Block-oriented
Boolean
CAD,
Causality,
Cellular
Character
Complexity,
Computational
Contour
Controller
Crossover
DNA,
Developmental
Discovery,
Dynamic
Evolution
Evolution,
Evolvability,
Evolvable
Extraction,
Feature
Fitness,
Fixed
Function
Generator,
Genetic
Genotype-Phenotype
Grammatical
Hardware,
Image
Intrinsic
Inverse
Iterated
Kinematics,
Knowledge
Layered
Learning,
Length
Linear
MAX
Machine
Mapping,
Multi-expression
Multipopulation
Neutral
One-then-zeros
Parallel
Pattern
Polymorphism,
Problem
Problem,
Process
Program
Reasoning,
Recognition,
Regression,
Retina,
Robotic
STGP,
Series
Symbolic
Systems,
Time
Trees,
Turing
VHDL,
VLSI
algorithms,
bias,
control,
design,
detection,
distributed
distributions,
function
genetic
individuals,
landscape,
machines,
model,
modelling,
modular
mutation,
of
points,
prediction,
problem,
processing,
programming,
representation,
representations,
robot,
robust,
size,
structures,
ActiveAnimat,Arm,ArtificialBDD,Bloat,Block-orientedBooleanCAD,Causality,CellularCharacterComplexity,ComputationalContourControllerCrossoverDNA,DevelopmentalDiscovery,DynamicEvolutionEvolution,Evolvability,EvolvableExtraction,FeatureFitness,FixedFunctionGenerator,GeneticGenotype-PhenotypeGrammaticalHardware,ImageIntrinsicInverseIteratedKinematics,KnowledgeLayeredLearning,LengthLinearMAXMachineMapping,Multi-expressionMultipopulationNeutralOne-then-zerosParallelPatternPolymorphism,ProblemProblem,ProcessProgramReasoning,Recognition,Regression,Retina,RoboticSTGP,SeriesSymbolicSystems,TimeTrees,TuringVHDL,VLSIalgorithms,bias,control,design,detection,distributeddistributions,functiongeneticindividuals,landscape,machines,model,modelling,modularmutation,ofpoints,prediction,problem,processing,programming,representation,representations,robot,robust,size,structures,
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2Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
I. Tanev. GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, page 687--694. Washington DC, USA, ACM Press, (25-29 June 2005)
17 years ago by @brazovayeye
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Algorithms,
Distribution
Estimation
algorithms,
context-sensitive
design,
genetic
grammar,
locomotion,
mutation
of
programming,
snakebot
strategies,
Algorithms,DistributionEstimationalgorithms,context-sensitivedesign,geneticgrammar,locomotion,mutationofprogramming,snakebotstrategies,
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2Learning computer programs with the bayesian optimization algorithm
M. Looks, B. Goertzel, and C. Pennachin. GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, page 747--748. Washington DC, USA, ACM Press, (25-29 June 2005)
17 years ago by @brazovayeye
show all tags
Algorithms,
Distribution
Estimation
Poster,
algorithms,
design,
empirical
genetic
of
programming,
representations
study,
Algorithms,DistributionEstimationPoster,algorithms,design,empiricalgeneticofprogramming,representationsstudy,
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2Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery
W. Langdon, S. Barrett, and B. Buxton. Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611 of LNCS, page 87--98. University of Essex, UK, Springer-Verlag, (14-16 April 2003)
17 years ago by @brazovayeye
show all tags
(HTS)
(ROC),
Characteristics
Operating
Receiver
adaboost,
algorithms,
artificial
classifiers,
clementine,
data
design,
drug
ensemble
fusion,
genetic
high
networks,
neural
of
programming,
put
screening
through
(HTS)(ROC),CharacteristicsOperatingReceiveradaboost,algorithms,artificialclassifiers,clementine,datadesign,drugensemblefusion,genetichighnetworks,neuralofprogramming,putscreeningthrough
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3Combining Decision Trees and Neural Networks for Drug Discovery
W. Langdon, S. Barrett, and B. Buxton. Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278 of LNCS, page 60--70. Kinsale, Ireland, Springer-Verlag, (3-5 April 2002)
17 years ago by @brazovayeye
show all tags
(HTS)
(ROC),
C4.5,
Characteristics
Operating
Receiver
algorithms,
artificial
classifiers,
clementine,
data
decision
design,
drug
ensemble
fusion,
genetic
high
networks,
neural
of
programming,
put
screening
through
trees
(HTS)(ROC),C4.5,CharacteristicsOperatingReceiveralgorithms,artificialclassifiers,clementine,datadecisiondesign,drugensemblefusion,genetichighnetworks,neuralofprogramming,putscreeningthroughtrees
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1Multi-Domain Observations Concerning Automatic Synthesis of Human-Competitive Designs Using Genetic Programming for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits
J. Koza, S. Al-Sakran, and L. Jones. Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, chapter 4, Springer, Ann Arbor, (11-13 May 2006)
17 years ago by @brazovayeye
show all tags
NODE,
NODE_INCREASED_SCOPE,
PID,
QGAME,
SPICE,
algorithms,
amplifiers,
analog,
analogue
antenna,
antennas,
automate,
automated
automated,
automatic,
circuit,
circuits,
computing
control,
controller,
controllers,
design,
development,
developmental
developmental,
filter,
genetic
hardware,
human-competitive
human-competitive,
invention,
lens
lens,
lenses,
mechanical
mechanical,
native,
of
optic,
optical
optical,
optics,
patent,
patented
previously
process,
programming,
quantum
quantum,
qubit,
reasonableness,
replication
representation,
result,
simulatable,
simulate,
simulation,
simulator,
structure,
system,
systems,
topology,
transistor,
turtle,
unsimulatable
NODE,NODE_INCREASED_SCOPE,PID,QGAME,SPICE,algorithms,amplifiers,analog,analogueantenna,antennas,automate,automatedautomated,automatic,circuit,circuits,computingcontrol,controller,controllers,design,development,developmentaldevelopmental,filter,genetichardware,human-competitivehuman-competitive,invention,lenslens,lenses,mechanicalmechanical,native,ofoptic,opticaloptical,optics,patent,patentedpreviouslyprocess,programming,quantumquantum,qubit,reasonableness,replicationrepresentation,result,simulatable,simulate,simulation,simulator,structure,system,systems,topology,transistor,turtle,unsimulatable
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1Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming
L. Jones, S. Al-Sakran, and J. Koza. Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 3, Springer, Ann Arbor, (12-14 May 2005)
17 years ago by @brazovayeye
show all tags
Automated
algorithms,
aspherical
design,
developmental
genetic
human-competitive
invention
invention,
lens
lenses,
of
optical
patented
previously
process,
programming,
replication
result,
system,
Automatedalgorithms,asphericaldesign,developmentalgenetichuman-competitiveinventioninvention,lenslenses,ofopticalpatentedpreviouslyprocess,programming,replicationresult,system,
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1Genetic Programming, Proceedings of EuroGP'2001

2Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot

2Learning computer programs with the bayesian optimization algorithm

2Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery

3Combining Decision Trees and Neural Networks for Drug Discovery

1Multi-Domain Observations Concerning Automatic Synthesis of Human-Competitive Designs Using Genetic Programming for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits

1Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming

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