《计算机应用研究》|Application Research of Computers

融合螺旋策略的离散混沌群粒振荡搜索算法

Dispersed chaotic swarm oscillation algorithm merged with spiral strategy

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作者 林之博,刘媛华
机构 上海理工大学 管理学院,上海 200093
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2021)10-031-3060-07
DOI 10.19734/j.issn.1001-3695.2021.03.0086
摘要 针对标准鲸鱼算法(WOA)及部分衍生算法求解某些算例效果不佳的问题进行了研究与实验,证明了WOA“包围”过程存在零点搜索偏好陷阱;而混沌优化算法(COA)不均衡的搜索特性使得部分衍生WOA融合的混沌初始种群与群智能优化过程难以调和。为了改善上述缺陷,选用了两种混沌系统和气泡网捕猎策略,设计了一套融合式优化算法。算法采用基于适应度的基线式自适应振荡群粒划分策略指导群体行为模式,充分发挥混沌系统作用,平衡探索与收敛性能。对通用/改进算例和工程应用案例求解可知,该算法性能相较于对比组算法更优,且不存在搜索偏好。
关键词 鲸鱼优化算法; 混沌系统; 搜索偏好陷阱; 自适应群划分; 基线振荡
基金项目 国家自然科学基金资助项目(11505114)
上海航天科技创新基金资助项目(SAST2018-22)
本文URL http://www.arocmag.com/article/01-2021-10-031.html
英文标题 Dispersed chaotic swarm oscillation algorithm merged with spiral strategy
作者英文名 Lin Zhibo, Liu Yuanhua
机构英文名 Business School,University of Shanghai for Science & Technology,Shanghai 200093,China
英文摘要 The standard whale optimization algorithm(WOA) and some derivative algorithms are studied and experimented to solve the problem of poor results of some examples. It is proved that there is a zero searching preference trap in the "encircling" process of WOA. In addition, the unbalanced search characteristics of chaos optimization algorithm(COA) make it difficult to reconcile the chaos initial population and swarm intelligence optimization process. In order to improve the above defects, this paper selected two chaotic systems and bubble net hunting strategy, and designed a set of fusion optimization algorithm. The algorithm adopted the baseline adaptive oscillation group partition strategy based on fitness to guide the group behavior pattern, gave full play to the role of chaotic system, and balanced the exploration and convergence performance. It used the new algorithm to solve the general/improved examples and engineering application cases. It's obviously that the performance of the algorithm is better than the contrast group algorithm, and there is no searching preference.
英文关键词 WOA; chaotic system; searching preference trap; adaptive group partition; baseline oscillation
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收稿日期 2021/3/17
修回日期 2021/5/10
页码 3060-3066,3071
中图分类号 TP399
文献标志码 A