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Multiobjective Optimization Using a Pareto Differential Evolution Approach

机译:基于pareto差分进化算法的多目标优化

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摘要

Differential Evolution is a simple, fast, and robust evolutionary algorithm that has proven effective in determining the global optimum for several difficult single-objective optimization problems. In this paper, the Differential Evolution algorithm is extended to multiobjective optimization problems by using a Pareto-based approach. The algorithm performs well when applied to several test optimization problems from the literature.

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