关键词: 光学优化算法, 适应度, 遗传算法, 函数优化

Abstract: Optics Inspired Optimization（OIO） is a new optimization algorithm based on the principle of optics from physics. Because of the singularity of fitness function, weak searching ability and low precision of the basic Optics Inspired Optimization, this paper modifies the Optics Inspired Optimization algorithm by using the self-adaptive analysis of the genetic algorithm to improve the fixed fitness of the basic optics optimization algorithm, and thus proposes a kind of modified algorithm which is coded and implemented on computer. Series of typical benchmark instances are tested and solved. Results of computational experiments show the feasibility and effectiveness of the improved algorithm.

Key words: Optics Inspired Optimization（OIO）, fitness, genetic?algorithm, function optimization