摘要
针对基本的极值动力学优化算法容易陷入局部最优解、数值寻优能力较差甚至不能寻优等缺点,提出一种带柯西变异的基于种群的极值动力学优化算法。改进后的算法不仅具有局部搜索能力还具有全局搜索能力,同时提高了收敛速度和精确度。
An improved optimization algorithm with extremal dynamics was proposed based on the shortcomings and the insufficiency of classical extremal optimization algorithm, which was easy to fall into local optimal solution, and had poor ability of numerical optimization, sometimes even had no optimal solution.The algorithm was called population-basedextremal optimization algorithm with Cauchy mutation.The improved algorithm not onlyhas the local search ability,but also has the global search ability, and the convergence speed and accuracy were improved.
出处
《农业网络信息》
2014年第11期44-47,50,共5页
Agriculture Network Information
关键词
极值动力学优化算法
种群
柯西变异
extremal dynamics optimization algorithm
population
Cauchy mutation