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Approach to Discrete Optimization Under Uncertainty: The Population-Based Sampling Genetic Algorithm

โœ Scribed by Hassan, Rania; Crossley, William


Book ID
121647461
Publisher
American Institute of Aeronautics and Astronautics
Year
2007
Tongue
English
Weight
352 KB
Volume
45
Category
Article
ISSN
0001-1452

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## Abstract For sampling various solutions from the entire Pareto front of the multiobjective resource division problem, a new Genetic Algorithm (GA) based on an evolutionary theory advocated by Kinji Imanishi is proposed. First, two types of distance between two individuals, namely, structural and