引入距离因素的拟态物理学算法

The Distance Factor of Artificial Physics Optimization

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.