计算机工程2018，Vol.44Issue(3)：208-213,219,7.DOI:10.3969/j.issn.1000-3428.2018.03.035
一种改进的鲸鱼优化算法
A Modified Whale Optimization Algorithm
张永 1陈锋1
作者信息
- 1. 中国科学技术大学信息科学技术学院,合肥230027
- 折叠
摘要
Abstract
To overcome the slow speed and low precision in convergence of the Whale Optimization Algorithm (WOA),to preserve the simplicity of the original algorithm while enhancing the performance,an improved WOA is proposed.Firstly,to maintain the diversity of the initial population in the global search,the population position is initialized by the chaotic sequence generated by the piecewise Logistic chaotic mapping.Secondly,considering the nonlinear optimization process of the algorithm and the difference of individual state in the search process,a nonlinear adaptive weighting strategy is introduced in the basic algorithm to coordinate the global exploration and local development.By the simulation,it compares the performance of the improved algorithm and the WOA on solving six typical benchmark functions.Experimental results show that the improved WOA preserves the initial population diversity in the process of optimization with better convergence speed and precision.关键词
鲸鱼优化算法/函数优化/混沌映射/非线性/启发式优化算法Key words
Whale Optimization Algorithm (WOA)/function optimization/chaos mapping/nonlinearity/heuristic optimization algorithm分类
信息技术与安全科学引用本文复制引用
张永,陈锋..一种改进的鲸鱼优化算法[J].计算机工程,2018,44(3):208-213,219,7.
