菌群优化方法及其应用研究综述  

A Review of Bacterial Optimization and Its Applications

作　　者：晏晓辉[1] 朱云龙 张智聪[1] 吕赐兴 李帅[1] 蚁文洁 YAN Xiaohui;ZHU Yunlong;ZHANG Zhicong;LU Cixing;LI Shuai;YI Wenjie(School of Mechanical Engineering,Dongguan University of Technology,Dongguan 523808,China;School of Electrical Engineering and Intelligentization,Dongguan University of Technology,Dongguan 523808,China;College of Management,Shenzhen University,Shenzhen 518060,China)

机构地区：[1]东莞理工学院机械工程学院,广东东莞523808 [2]东莞理工学院电子工程与智能化学院,广东东莞523808 [3]深圳大学管理学院,广东深圳518060

出　　处：《郑州大学学报（工学版）》2018年第5期1-10,21,共11页Journal of Zhengzhou University（Engineering Science）

基　　金：国家重点研发计划资助项目(2018YFB1004000004);国家自然科学基金资助项目(61703102);广东省自然科学基金资助项目(2015A030310274;2015A030313649);广东省科技计划资助项目(2015A010103021)

摘　　要：菌群优化是近年新提出的一种群体智能优化方法.在介绍几种典型菌群优化方法的基础上,着重对细菌觅食算法的相关文献进行了关键词分析,结合关键词及原始细菌觅食算法的不足,从参数与结构优化、多算法混合、算子改善、多目标优化改造等4个方面对菌群优化方法的改进研究进行了综述.同时,对其在各典型工程领域的应用进行了介绍.最后,对菌群优化方法的发展方向进行了分析展望.Bacterial optimization was a kind of swarm intelligence approach proposed in recent year. In this paper, troduced several typical bacterial optimization algorithms were introduced and the keywords of relevant literatures were analyzed. Based on the frequency of these keywords, the algorithm improvement studies were reviewed. It manly containsed four main aspects： parameter and structure improvement, algorithm hybrid, op- erator improvement, and multi-objective reconstruction. Applications of bacterial optimization on engineering problems were reviewed as well. At last, the research direction in future was prospected.

关 键 词：群体智能 优化计算 菌群优化 算法改进 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]