摘要
光学优化算法(Optics Inspired Optimization,OIO)是一种基于光学原理的新型智能优化方法,其基本思想是由镜面反射规律在凸、凹面镜中的应用启发而来。作为一种新型启发式优化策略,这种算法不仅导致了物理光学原理在优化领域中的应用,而且还从数学角度对算法的优化过程给出了分析定义,并以其独特的搜索机制和较好的搜索性能在智能优化领域得到了广泛关注。针对光学优化算法的设计原理与算法流程及相应搜索迭代和偏差修复操作进行了综述,探讨了OIO算法与传统优化算法之间的差异以及OIO算法的应用前景。
Optics Inspired Optimization is a kind of new intelligent optimization algorithm based on the principle of optics, which is inspired by the application of mirror reflection law in the convex and concave mirrors. As a new heuristic optimization strategy, this algorithm not only leads the application of physical optics in the heuristic optimi- zation, but also analyses and defines the optimization process from the mathematical viewpoint according to its unique search mechanism and better performances. This paper surveys the principle of optics optimization algorithm and its procedure of corresponding search iteration and deviation repair mechanism, and discusses the differences between OIO algorithm and traditional optimization algorithms together with the prospects ofOIO algorithm.
出处
《计算机仿真》
北大核心
2017年第12期254-259,共6页
Computer Simulation
基金
国家自然科学基金项目(71401106)
教育部人文社科规划基金项目(16YJA630037)
上海市高原学科建设项目
上海高校青年教师培养资助计划项目(ZZsl15018)
上海理工大学博士科研启动经费项目(1D-15-303-005)
关键词
光学原理
镜面反射
物理光学
搜索机制
偏差修复
Principles of optics
Mirror reflection
Physical optics
Search mechanisms
Deviation of repair
