标题:
引入距离因素的拟态物理学算法The Distance Factor of Artificial Physics Optimization
作者:
麻晓宁, 谢丽萍, 曾建潮
关键字:
拟态物理学算法, 引力, 斥力, 全局优化算法Artificial Physics Optimization; Attraction; Repulsion; Global Optimization
期刊名称:
《Computer Science and Application》, Vol.3 No.8, 2013-11-28
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。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.