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1COMPARATIVE STUDY OF DIFFERENT ALGORITHMS TO SOLVE N QUEENS PROBLEM
S. Mukherjee, S. Datta, P. Chanda, и P. Pathak. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (2): 13 (марта 2015)
год назад , @devino
Algorithm
Annealing
Backtracking
Brute
Fitness
Force
Genetic
Intractable
N
No
Problem
Problems
Queens
Search
Simulated
Solutions
Time
Tractable
and
of
AlgorithmAnnealingBacktrackingBruteFitnessForceGeneticIntractableNNoProblemProblemsQueensSearchSimulatedSolutionsTimeTractableandof
(0)
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1Clustered Genetic Algorithm to solve Multidimensional Knapsack Problem
D. Nair. International Journal of Trend in Scientific Research and Development, 1 (4): 737-745 (июня 2017)
6 лет назад , @ijtsrd
Crossover
Fitness
Genetic
Multidimensional
Mutation
algo-rithm
function
knapsack
problem
CrossoverFitnessGeneticMultidimensionalMutationalgo-rithmfunctionknapsackproblem
(0)
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1Solving the Vehicle Routing Problem using Genetic Algorithm
M. Abdul Kadar Muhammad Masum Mohammad Shahjalal. International Journal of Advanced Computer Science and Applications(IJACSA), (2011)
11 лет назад , @thesaiorg
(VRP);
Algorithm;
Genetic
Heuristic.
NP-complete;
Problem
Routing
Vehicle
(VRP);Algorithm;GeneticHeuristic.NP-complete;ProblemRoutingVehicle
(0)
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1A Comparative Study of Meta-heuristic Algorithms for Solving Quadratic Assignment Problem
E. Gamal Abd El-Nasser A. Said Abeer M. Mahmoud. International Journal of Advanced Computer Science and Applications(IJACSA), (2014)
11 лет назад , @thesaiorg
(GA);
(QAP);
(SA);
(TS);
Algorithm
Analysis
Annealing
Assignment
Genetic
Performance
Problem
Quadratic
Search
Simulated
Tabu
(GA);(QAP);(SA);(TS);AlgorithmAnalysisAnnealingAssignmentGeneticPerformanceProblemQuadraticSearchSimulatedTabu
(0)
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1Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network
J. Mendoza, M. Lopez, C. Coello, и E. Lopez. Generation, Transmission & Distribution, IET, 3 (9): 825 - 840 (сентября 2009)
11 лет назад , @justice
algorithm
algorithms
approach
distribution
electrical
evolutionary-based
genetic
indices
losses
medium
microgenetic
multiobjective
network
networks
optimisation
power
problem
quality
reconfiguration
reliability
supply
system
voltage
algorithmalgorithmsapproachdistributionelectricalevolutionary-basedgeneticindiceslossesmediummicrogeneticmultiobjectivenetworknetworksoptimisationpowerproblemqualityreconfigurationreliabilitysupplysystemvoltage
(0)
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1A hybrid grouping genetic algorithm for the inventory routing problem with multi-tours of the vehicle
A. Sadok, J. Teghem, и H. Chabchoub. International Journal of Combinatorial Optimization Problems and Informatics, 1 (2): 42-61 (2010)
14 лет назад , @ijcopi
algorithm
genetic
inventory
problem
routing
algorithmgeneticinventoryproblemrouting
(0)
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1Detecting the epistatic structure of generalized embedded landscape
S. Zhou, R. Heckendorn, и Z. Sun. Genetic Programming and Evolvable Machines, 9 (2): 125--155 (июня 2008)Special Issue on Theoretical foundations of evolutionary computation.
17 лет назад , @brazovayeye
Epistasis,
Fourier
Generalised
Linkage
Problem
algorithms,
detection,
embedded
genetic
landscape,
structure
transform,
Epistasis,FourierGeneralisedLinkageProblemalgorithms,detection,embeddedgeneticlandscape,structuretransform,
(0)
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1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
L. Virirakis. IEEE Transactions on Evolutionary Computation, 7 (5): 456--481 (октября 2003)
17 лет назад , @brazovayeye
CAD,
G-CAD,
GENETICA,
GP,
abstractions,
algorithms,
architectural
artificial
computation,
computer
data
design,
domain
environment
environments,
evolutionary
evolving
experimental
expression,
formal
general
generation
genetic
genotypes,
high
intelligence,
language,
languages,
level
logic,
method,
optimization,
problem
problem-solving
problem-solving,
programming
programming,
results,
scenarios,
solving,
specific
structure,
structures,
CAD,G-CAD,GENETICA,GP,abstractions,algorithms,architecturalartificialcomputation,computerdatadesign,domainenvironmentenvironments,evolutionaryevolvingexperimentalexpression,formalgeneralgenerationgeneticgenotypes,highintelligence,language,languages,levellogic,method,optimization,problemproblem-solvingproblem-solving,programmingprogramming,results,scenarios,solving,specificstructure,structures,
(0)
копироватьудалитьдобавить публикацию в буфер
3A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
M. Tomassini, L. Vanneschi, P. Collard, и M. Clergue. Evolutionary Computation, 13 (2): 213--239 (Summer 2005)
17 лет назад , @brazovayeye
algorithms,
correlation
difficulty,
distance
fitness
genetic
landscapes,
problem
program
programming,
algorithms,correlationdifficulty,distancefitnessgeneticlandscapes,problemprogramprogramming,
(0)
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2Finding improved simulated annealing schedules with genetic programming
U. Thonemann. Proceedings of the 1994 IEEE World Congress on Computational Intelligence, 1, стр. 391--395. Orlando, Florida, USA, IEEE Press, (27-29 June 1994)
17 лет назад , @brazovayeye
QAP.
algorithms,
annealing,
assignment
genetic
problem
programming,
quadratic
simulated
QAP.algorithms,annealing,assignmentgeneticproblemprogramming,quadraticsimulated
(0)
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1Genetic Programming: Theory, Implementation, and the Evolution of Unconstrained Solutions
A. Robinson. Hampshire College, Division III thesis, (мая 2001)
17 лет назад , @brazovayeye
GP,
Grazer
Java
LJGP
Lawnmower
Linear
PushGP,
algorithms,
genetic
problem
problem,
programming,
GP,GrazerJavaLJGPLawnmowerLinearPushGP,algorithms,geneticproblemproblem,programming,
(0)
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2Genetic programming: optimal population sizes for varying complexity problems
A. Piszcz, и T. Soule. GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, стр. 953--954. Seattle, Washington, USA, ACM Press, (8-12 July 2006)
17 лет назад , @brazovayeye
MAX
Poster,
algorithms,
binary
binomial-3,
difficulty,
genetic
optimal,
population
problem
problem,
programming:
sizing
sizing,
tree
MAXPoster,algorithms,binarybinomial-3,difficulty,geneticoptimal,populationproblemproblem,programming:sizingsizing,tree
(0)
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1Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability
R. Ondas, M. Pelikan, и K. Sastry. WSC10: 10th Online World Conference on Soft Computing in Industrial Applications, стр. 363--372. On the World Wide Web, (19 September - 7 October 2005)
17 лет назад , @brazovayeye
PIPE,
algorithms,
genetic
order
problem
problem,
programming,
scalability,
scaling,
trap
PIPE,algorithms,geneticorderproblemproblem,programming,scalability,scaling,trap
(0)
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1Genetic Programming, Proceedings of EuroGP'2001
J. Miller, M. Tomassini, P. Lanzi, C. Ryan, A. Tettamanzi, и W. Langdon (Ред.) том 2038 из LNCS, Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 лет назад , @brazovayeye
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,
(0)
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1A genetic algorithm for discrete tomography reconstruction
C. Valenti. Genetic Programming and Evolvable Machines, 9 (1): 85--96 (марта 2008)
17 лет назад , @brazovayeye
Discrete
Stability
algorithms,
genetic
problem
tomography,
DiscreteStabilityalgorithms,geneticproblemtomography,
(0)
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1Hierarchical Learning with Procedural Abstraction Mechanisms
J. Rosca. Department of Computer Science, The College of Arts and Sciences, University of Rochester, Rochester, NY 14627, USA, (февраля 1997)
17 лет назад , @brazovayeye
Abstraction,
Complexity
Decomposition,
Generalization
Hierarchical
Learning,
Problem
Procedural
Reinforcement
Representations,
Search,
Stochastic
algorithms,
and
genetic
programming,
Abstraction,ComplexityDecomposition,GeneralizationHierarchicalLearning,ProblemProceduralReinforcementRepresentations,Search,Stochasticalgorithms,andgeneticprogramming,
(0)
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2A schema theory analysis of the evolution of size in genetic programming with linear representations
N. McPhee, и R. Poli. Genetic Programming, Proceedings of EuroGP'2001, том 2038 из LNCS, стр. 108--125. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 лет назад , @brazovayeye
Bloat,
Fitness
Length
Linear
One-then-zeros
Schema
algorithms,
distributions,
genetic
glitches,
landscape
problem
programming,
representations,
theory,
Bloat,FitnessLengthLinearOne-then-zerosSchemaalgorithms,distributions,geneticglitches,landscapeproblemprogramming,representations,theory,
(0)
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2An Adaptive Mapping for Developmental Genetic Programming
S. Margetts, и A. Jones. Genetic Programming, Proceedings of EuroGP'2001, том 2038 из LNCS, стр. 97--107. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 лет назад , @brazovayeye
Adaptive
Developmental
Genetic
Genotype
MAX
Mappings,
Phenotype
Problem
Programming,
algorithms,
genetic
programming,
to
AdaptiveDevelopmentalGeneticGenotypeMAXMappings,PhenotypeProblemProgramming,algorithms,geneticprogramming,to
(0)
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публикации (спрятать)43
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1COMPARATIVE STUDY OF DIFFERENT ALGORITHMS TO SOLVE N QUEENS PROBLEM

1Clustered Genetic Algorithm to solve Multidimensional Knapsack Problem

1Solving the Vehicle Routing Problem using Genetic Algorithm

1A Comparative Study of Meta-heuristic Algorithms for Solving Quadratic Assignment Problem

1Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network

1A hybrid grouping genetic algorithm for the inventory routing problem with multi-tours of the vehicle

1Detecting the epistatic structure of generalized embedded landscape

1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures

3A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming

2Finding improved simulated annealing schedules with genetic programming

1Genetic Programming: Theory, Implementation, and the Evolution of Unconstrained Solutions

2Genetic programming: optimal population sizes for varying complexity problems

1Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability

1Genetic Programming, Proceedings of EuroGP'2001

1A genetic algorithm for discrete tomography reconstruction

1Hierarchical Learning with Procedural Abstraction Mechanisms

2A schema theory analysis of the evolution of size in genetic programming with linear representations

2An Adaptive Mapping for Developmental Genetic Programming

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