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Biology / Evolutionary algorithm / Mutation / Fitness landscape / Crossover / Lego / Fitness proportionate selection / Selection / Fitness function / Genetic algorithms / Science / Applied mathematics


Solving LEGO brick layout problem using Evolutionary Algorithms Pavel Petrovic Division of Intelligent Systems, Department of Computer and Information Science, Norwegian University of Science and Technology, 7491 Trondhe
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Document Date: 2002-09-06 09:03:47


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File Size: 137,31 KB

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Company

LEGO Company / /

Country

Netherlands / /

Currency

pence / /

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Facility

Norwegian University of Science / GA library / /

IndustryTerm

natural tool / rndmodel tool / search method / blind random search / stable solutions / search process / optimization algorithm / infeasible solutions / feasible solution / good solutions / local search / search operators / representation allowing unfeasible solutions / search spaces / final solution / stable solution / post-processing / search location / prepared and evolved algorithms / representative solution / unfeasible solutions / evolutionary algorithms / software package / parallel genetic algorithm / search space / search algorithm / /

MarketIndex

case 20 / /

Organization

Department of Computer and Information Science / Norwegian University of Science and Technology / Division of Intelligent Systems / /

Person

Pavel Petrovic / /

Position

representative / mathematician group of Gower et al. / /

ProvinceOrState

Georgia / /

Technology

implemented algorithm / Introduction Evolutionary Algorithms / solving using Evolutionary Algorithms / artificial intelligence / search algorithm / genotype / recombination / parallel genetic algorithm / brick layout problem using Evolutionary Algorithms / prepared and evolved algorithms / optimization algorithm / /

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