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Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation

โœ Scribed by Granmo, O.-C.; Oommen, B.J.; Myrer, S.A.; Olsen, M.G.


Book ID
117938585
Publisher
IEEE
Year
2007
Tongue
English
Weight
254 KB
Volume
37
Category
Article
ISSN
1083-4419

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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