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- W2321877283 abstract "Evolutionary optimization methods, for example, genetic algorithms and particle swarm optimization have been applied for solving multi-objective optimization problems, and have been observed to be useful for generating Pareto optimal solutions. In order to generate good approximate and well-distributed Pareto optimal solutions with a small number of function evaluations, this paper suggests a new recombination method by utilizing expected improvement and generalized data envelopment analysis in a real-coded genetic algorithm. In addition, the effectiveness of the proposed method will be investigated through several numerical examples, by comparison with the conventional methods." @default.
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- W2321877283 date "2012-01-01" @default.
- W2321877283 modified "2023-10-16" @default.
- W2321877283 title "Generation of Pareto Optimal Solutions Using Expected Improvement and Generalized Data Envelopment Analysis" @default.
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- W2321877283 doi "https://doi.org/10.5687/iscie.25.189" @default.
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