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Science / Evolutionary algorithm / Packing problem / Crossover / Chromosome / Mutation / Fitness function / Genetic operator / Algorithm / Genetic algorithms / Mathematics / Applied mathematics


KNOWLEDGE ENGINEERING: PRINCIPLES AND TECHNIQUES Proceedings of the International Conference on Knowledge Engineering, Principles and Techniques, KEPT2007 Cluj-Napoca (Romania), June 6–8, 2007, pp. 193–200 AN EVOLUT
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Document Date: 2007-04-12 10:11:01


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City

London / New York / East Lansing / /

Country

Romania / /

/

Facility

¸-Bolyai University / Bolyai University / /

IndustryTerm

graph-based tabu search framework / polynomial algorithm / genetic algorithm / parallel tabu search algorithm / industrial applications / search operators / generational and steady state genetic algorithms / good solution / Genetic algorithms / warehouse management / polynomial-time algorithm / few evolutionary algorithms / Evolutionary algorithms / search space / cargo management / purpose algorithm / /

Organization

¸-Bolyai University / Faculty of Mathematics and Computer Science / /

Person

OANA MUNTEAN / Addison Wesley / John Murray / Tabu / Morgan Kaufmann / /

Position

editor / /

ProvinceOrState

New York / Georgia / Michigan / /

Technology

few evolutionary algorithms / parallel tabu search algorithm / Proposed algorithm Genetic Packing Algorithm / Genetic Packing Algorithm / purpose algorithm / proposed algorithm / GA algorithm / polynomial-time algorithm / GP algorithm / genetic algorithm / machine learning / recombination / polynomial algorithm / generational and steady state genetic algorithms / 1 Genetic Packing Algorithm / /

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