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• W2105834597 abstract "Presents an incremental multiobjective evolutionary algorithm with dynamic population size that is adaptively computed according to the online discovered trade-off surface and its desired population distribution density. It incorporates the method of fuzzy boundary local perturbation with interactive local fine-tuning for broader neighborhood exploration to achieve better convergence as well as discovering any gaps or missing trade-off regions at each generation. The effectiveness of the proposed methodology is validated upon a benchmark multiobjective optimization problem." @default.
• W2105834597 created "2016-06-24" @default.
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• W2105834597 date "2002-11-11" @default.
• W2105834597 modified "2023-09-26" @default.
• W2105834597 title "Evolutionary algorithm with dynamic population size for multi-objective optimization" @default.
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• W2105834597 doi "https://doi.org/10.1109/iecon.2000.972436" @default.
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