一种基于极值个体引导的鲸鱼优化算法  

A Whale Optimization Algorithm Based on Extremum Guidance

作　　者：丁浩 王联国[1] DING Hao;WANG Lian-guo(School of Information Science and Technology,Gansu Agricultural University,Lanzhou 730000,China)

机构地区：[1]甘肃农业大学信息科学技术学院,甘肃兰州730000

出　　处：《软件导刊》2022年第12期76-83,共8页Software Guide

基　　金：国家自然科学基金项目(61751313);甘肃省重点研发计划项目(21YF5GA088);甘肃省教育信息化建设专项任务项目(2011-02)。

摘　　要：针对鲸鱼优化算法易陷入局部最优、收敛速度慢等问题,提出一种基于极值个体引导的鲸鱼优化算法。首先采用非线性方式动态调整参数C,以平衡全局搜索能力与局部搜索能力;然后在包围捕食阶段,利用群体最优个体和邻域最优个体共同引导鲸鱼进行搜索,以当前位置为基点,使鲸鱼个体向群体最优鲸鱼游动的同时,在邻域最优个体周围形成小范围聚拢,以增强算法的全局搜索能力,防止算法陷入局部最优;在搜索猎物阶段,采用邻域最优个体引导鲸鱼进行搜索,提升算法收敛速度和优化精度;最后选取23个包括单峰、多峰及固定维度在内的测试函数对改进算法进行测试。仿真实验结果表明,改进算法具有更高的寻优精度,且秩和检验验证结果具有显著性差异,即改进算法具有更佳的寻优性能。Aiming at the problem that whale optimization algorithm is easy to fall into local optimum and convergence speed is slow, a whale optimization algorithm based on extremum individual guidance is proposed. Firstly, the parameter C is dynamically adjusted in a nonlinear way to balance the global search capability and local search capability. Surrounded by then, in feeding stage, the optimal individual USES group and neighborhood search for the optimal individual leads whales, based on the current position, by the whales of the individual to the group of optimal whales swimming at the same time, in the neighborhood of the optimal individual form small range around together, enhance the global search ability of algorithm, to prevent the algorithm falls into local optimum. Thirdly, in the stage of searching prey, the optimal individual in the neighborhood is used to guide whales to search, which improves the convergence speed and optimization accuracy of the algorithm. Finally, 23 test functions including single peak, multi-peak and fixed dimension are selected to test the improved algorithm. The simulation results show that the improved algorithm has higher optimization accuracy, and the rank sum test results have significant differences, that is, the improved algorithm has better optimization performance.

关 键 词：鲸鱼优化算法 极值个体引导 动态调整 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]