Abstract：An intelligent multi-objective optimization is proposed with the foundation of light ray optimization. Relying on Fermat′s principle, the optimization successfully solves multi-objective problems by using the refraction and reflection principle. In this paper, the occurrence mechanism of the reflection is also proved strictly. The gray system is introduced into external archives, and a principle of the external archive maintenance is proposed. It shows that the gray system increases the uniformity of non-inferior solution. In the numerical experiment, the optimization is compared with MOPSO and NSGA-II by convergence index and diversity index. The results show that the proposed optimization has better effects and provides an idea for solving the high dimension multi-objective problem.
沈继红，王侃. 一种基于光学原理的多目标智能优化算法[J]. 模式识别与人工智能, 2012, 25(6): 1022-1030.
SHEN Ji-Hong, WANG Kan. A Multi-Objective Intelligent Optimization Based on the Principle of Light. , 2012, 25(6): 1022-1030.
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