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Using diversity as an additional-objective in dynamic multi-objective optimization algorithms

机译:在动态多目标优化算法中将分集用作附加目标

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This paper investigates the use of additional-objective for solving multi-objective optimization problems in dynamic environment. A number of authors proposed the use of additional-objective for maintaining diversity in static single-objective optimization task; in this paper the work is extended to dealing with the dynamic multi-objective optimization problems. Individual diversity is used as an additional-objective, and a new efficient multi-objective optimization algorithm is proposed. Experimental results clearly indicate that the performance of the proposed algorithm is gratifying.
机译:本文研究了使用附加目标解决动态环境中的多目标优化问题。许多作者提出在静态单目标优化任务中使用附加目标来保持多样性。本文的工作扩展到处理动态多目标优化问题。将个体多样性用作附加目标,并提出了一种新的有效的多目标优化算法。实验结果清楚地表明,该算法的性能令人满意。

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