[1]晏晓辉,朱云龙,张智聪,等.菌群优化方法及其应用研究综述[J].郑州大学学报(工学版),2018,39(05):1-10.[doi:10.13705/j.issn.1671-6833.2018.05.010]
 Yan Xiaohui,Zhu Yunlong,Zhang Zhicong,et al.A Review of Bacterial Optimization and Its Applications[J].Journal of Zhengzhou University (Engineering Science),2018,39(05):1-10.[doi:10.13705/j.issn.1671-6833.2018.05.010]
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菌群优化方法及其应用研究综述()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
39
期数:
2018年05期
页码:
1-10
栏目:
出版日期:
2018-08-21

文章信息/Info

Title:
A Review of Bacterial Optimization and Its Applications
作者:
晏晓辉朱云龙张智聪吕赐兴李帅蚁文洁
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
Author(s):
Yan Xiaohui1Zhu Yunlong2Zhang Zhicong1Lu Cixing2Li Shuai1Ant Wenjie3
1. School of Mechanical Engineering, Dongguan Institute of Technology, Dongguan, Guangdong, 523808; 2. School of Electronic Engineering and Intelligence, Dongguan Institute of Technology, Dongguan, Guangdong 523808; 3. School of Management, Shenzhen University, Shenzhen, Guangdong, 518060
关键词:
群体智能优化计算菌群优化算法改进
Keywords:
Swarm Intelligence Optimization Calculation Bacteria Optimization Algorithm Improvement
DOI:
10.13705/j.issn.1671-6833.2018.05.010
文献标志码:
A
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、多目标优化等四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。
Abstract:
Bacterial optimization was a kind of swarm intelligence approach proposed recent year. In this paper, troduced several typical bacterial optimization algorithms and analyzed the keywords of relevant literatures were analyzed. Based on the frequency of these keywords, the algorithm improvement researches were reviewed. It manly contains four main aspects: parameter and structure improvement、algorithm hybrid、operator 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.

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[1]刘倩,冯艳红,陈嶷瑛.基于混沌初始化和高斯变异的飞蛾火焰优化算法[J].郑州大学学报(工学版),2021,42(03):53.[doi:10.13705/j.issn.1671-6833.2021.03.009]
 Liu Qian,Feng Yanhong,Chen Yingying,et al.Moth-flame Optimization Algorithm Based on Chaotic Initialization and Gaussian Mutation[J].Journal of Zhengzhou University (Engineering Science),2021,42(05):53.[doi:10.13705/j.issn.1671-6833.2021.03.009]

更新日期/Last Update: 2018-08-22