计算机工程与应用2017，Vol.53Issue(12)：58-62,104,6.DOI:10.3778/j.issn.1002-8331.1602-0180
改进光学优化算法及其在函数优化中的应用
Modified Optics Inspired Optimization and its application in function optimi-zation
摘要
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.关键词
光学优化算法/适应度/遗传算法/函数优化Key words
Optics Inspired Optimization(OIO)/fitness/genetic algorithm/function optimization分类
信息技术与安全科学引用本文复制引用
王金叶,马良,刘勇..改进光学优化算法及其在函数优化中的应用[J].计算机工程与应用,2017,53(12):58-62,104,6.基金项目
国家自然科学基金(No.71401106) （No.71401106）
上海市高峰高原学科建设项目. （）
