求解多目标仿真优化问题的混合进化算法

Sci. J. Riga Tech. Univ. Ser. Comput. Sci. Pub Date : 2009-01-01 DOI:10.2478/v10143-010-0001-2

L. Napalkova

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引用次数: 1

摘要

针对多目标仿真优化问题，对现有的混合多目标进化算法进行了分类分析。为此，确定了进化算法的性质和解决所考虑问题的要求。最后，揭示了这些属性的组合，使人们能够以相对较低的计算成本提高帕累托最优前沿的近似精度。

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Hybridisation of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimisation Problems

Hybridisation of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimisation Problems The paper presents a taxonomic analysis of existing hybrid multi-objective evolutionary algorithms aimed at solving multi-objective simulation optimisation problems. For that, the properties of evolutionary algorithms and the requirements made to solving the problem considered are determined. Finally, a combination of the properties, which allows one to increase the approximation accuracy of the Pareto-optimal front at relatively low computational costs, is revealed.

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Sci. J. Riga Tech. Univ. Ser. Comput. Sci.

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