引入距离因素的拟态物理学算法
The Distance Factor of Artificial Physics Optimization
DOI: 10.12677/CSA.2013.38057, PDF, HTML, XML,    科研立项经费支持
作者: 麻晓宁, 谢丽萍, 曾建潮：太原科技大学复杂系统与计算智能实验室，太原
关键词: 拟态物理学算法；引力；斥力；全局优化算法；Artificial Physics Optimization; Attraction; Repulsion; Global Optimization
摘要: 拟态物理学算法是受拟态物理学启发的一种全局优化算法，是一种随机优化算法，基于牛顿万有引力定律定义了个体之间的虚拟作用力，制定了作用力规则。本文在拟态物理学算法的作用力规则的基础上，引入了一个新的参数，即个体之间的距离，并且随着个体间距离的不同，个体之间的作用力也随之变化，实验结果表明在这种新的作用力规则下算法的有效性。
Abstract: Artificial Physics Optimization (APO) algorithm is a global optimization algorithm by physico-mimetics- inspired. APOalgorithm is a stochastic optimization algorithm. The virtual forces among individuals are defined by Newton’s gravity law and a reaction rule is established among them. On the basis of the APO, it introduces a new pa- rameter, the distance between individuals. And as the distance between the individuals differs, force changes between individuals. The simulation results indicate the validity of the approach.
文章引用：麻晓宁, 谢丽萍, 曾建潮. 引入距离因素的拟态物理学算法[J]. 计算机科学与应用, 2013, 3(8): 326-330. http://dx.doi.org/10.12677/CSA.2013.38057

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