一种基于模式搜索算子的人工萤火虫优化算法

人工萤火虫算法是群智能领域近年出现的一个新的研究方向,该算法已在复杂函数优化方面取得了成功,但也存在着易陷入局部极小且进化后期收敛速度慢等问题.而模式搜索具有很强的搜索能力,但其搜索结果的好坏在很大程度上依赖于初始点的选择.结合两者的优缺点,提出一种基于搜索算子的人工萤火虫算法.该算法在人工萤火虫算法全局搜索过程中融入模式搜索法,改进人工萤火虫算法全局搜索和局部搜索能力.仿真实验结果表明,该算法收敛速度和解的精度显著地提高,是求解函数优化问题的一种可行和有效的方法.

A Glowworm Swarm Optimization Algorithm Based on Pattern Search Operator

Artificial glowworm swarm optimization algorithm is a new research orientation in the field of swarm intelligence recently.The algorithm has been achieved success in the complex function optimization;but it is easy to fall into local optimization,and having the low speed of convergence and so on in the late.Hooke-Jeeves algorithm has excellent local search ability;however its search result mostly depends on the initial point.Combining their advantages and disadvantages,a glowworm swarm optimization algorith...