生态金字塔粒子群优化算法-计算机科学.pdfVIP

Vo 1. 44 No. 10 第 44 卷第10 期 计算机科学 2017 年 10 月 COMPUTER SCIENCE Oct.2017 生态金字塔粒子群优化算法 刘亚红张璋樊吕彬 (太原理工大学化学化工学院 太原 030024) 摘 要 为解决粒子群优化算法在处理高维复杂函数时容易陷入局部最优和平熟收敛的问题，提出生态金字塔粒子 群优化算法(EP-PSO) 。该算法引入生态金字塔系统，使粒子在有哪些信誉好的足球投注网站空间分等级、分子群寻优，有效增加了群体多样 性;为增强算法的全局有哪些信誉好的足球投注网站能力，对处于停滞状态的个体极值和全局极值进行动态变异，以达到扩大种群潜在有哪些信誉好的足球投注网站空 间的效采。选择 15 个测试函数验证算法的有效性，结采表明 EP-PSO 有着良好的寻优性能，能够得到较高精度解，具 有较高的效率和可信度。 关键词 粒子群优化算法，早熟收敛，生态金字塔系统 中图法分类号 TP30 1. 6 文献标识码 A 001 10. 11896/j. iss几 1002-137X 2017. 010. 043 Ecological Pyramid Particle Swarm Optimization LIU Ya-hong ZHANG Wei FAN Lv-bin (College of Chemistry and Chemical Engineering. Taiyuan University of Technology ,Taiyuan 030024 ,China) Abstract A novel ecological pyramid particle swarm optimization variant was proposed to deal with the high dimen sions ,complex optimization problems. In the new variant ,the ecological pyramid system was introduced to improve the particle s diversity. At the same time ,the variation both on the local exemplar and the global exemplar was also em ployed extending the search space. To verify the effectiveness of the algorithm ,fifteen benchmarl王 problems were used to test the performance of EP-PSO. Experimental results validate the outstanding performance of EP-PSO. Compared with other algorithms ,EP-PSO not only obtained high accuracy solutions ,but also achieved high efficiency and reliability. Keywords Particle swarm optimization algorithm ,Premature convergence ,Ecological pyramid system 于满足粒子在有哪些信誉好的足球投注网站初期全局开发能力强、有哪些信誉好的足球投注网站后期局部探索 引言 能力强的要求，被广泛应用。文