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  2012, Vol. 25 Issue (6): 1022-1030    DOI:
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A Multi-Objective Intelligent Optimization Based on the Principle of Light
SHEN Ji-Hong, WANG Kan
1.College of Science,Harbin Engineering University,Harbin 150001
2.College of Automation,Harbin Engineering University,Harbin 150001

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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.
Key wordsMulti-Objective Optimization      Fermats Principle      Pareto Optimal Solution      External Archive      Gray System     
Received: 24 August 2011     
ZTFLH: TP301.6  
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SHEN Ji-Hong
WANG Kan
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SHEN Ji-Hong,WANG Kan. A Multi-Objective Intelligent Optimization Based on the Principle of Light[J]. , 2012, 25(6): 1022-1030.
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