[1]史旭栋,高岳林*.基于模糊推理的鸡群优化算法[J].江西师范大学学报(自然科学版),2018,(03):323-330.[doi:10.16357/j.cnki.issn1000-5862.2018.03.17]
　SHI Xudong,GAO Yuelin*.The Chicken Swarm Optimization Algorithm Based on Fuzzy Reasoning[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(03):323-330.[doi:10.16357/j.cnki.issn1000-5862.2018.03.17]
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基于模糊推理的鸡群优化算法()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年03期
页码:
323-330
栏目:
信息科学与技术
出版日期:
2018-06-20

文章信息/Info

Title:
The Chicken Swarm Optimization Algorithm Based on Fuzzy Reasoning
文章编号:
1000-5862(2018)03-0323-08
作者:
史旭栋1; 高岳林2*
1.宁夏大学数学统计学院,宁夏 银川 750021; 2.北方民族大学信息与系统科学研究所,宁夏 银川 750021
Author(s):
SHI Xudong1; GAO Yuelin2*
1.School of Mathematics and Computer,Ningxia University, Yinchuan Ningxia 750021,China; 2.Research Institute of Information and System Computation Science,Beifang University of Nationalities,Yinchuan Ningxia 750021,China
关键词:
鸡群优化;  模糊推理;  惯性粒子
Keywords:
chicken swarm optimization;  fuzzy reasoning;  weighted particle
分类号:
TP 18
DOI:
10.16357/j.cnki.issn1000-5862.2018.03.17
文献标志码:
A
摘要:
针对鸡群算法(CSO)在求解高维复杂优化问题时往往会陷入局部解的问题,提出了基于模糊推理的鸡群优化算法.该方法利用模糊推理改进了母鸡和小鸡的位置更新公式,增强了鸡群全局搜索能力; 利用惯性粒子,增强了鸡群的信息共享,从而增加了局部搜索能力,并用Tent映射对粒子进行扰动.数值试验结果表明:该算法能快速收敛到全局最优解,而且具有较高的全局寻优能力和计算精度.
Abstract:
According to the fact that CSO algorithm is often trapped in local solution when solving high dimensional and complex optimization problem,the fuzzy reasoning has been used to modify position update formula of hens and chickens,which enhances global search ability of chicken group.And then the weighted particle is used to improve information sharing among chicken so that local search ability is increased.Finally,the Tent mapping has been used to perturb particle,and the chichen swarm optimization algorithm based on fuzzy reasoning is proposed.Numerical experiments show that the algorithm can converge to the global optimal solution quickly,and has high global optimization ability and computational accuracy.

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备注/Memo

备注/Memo:
收稿日期:2017-08-06
基金项目:国家自然科学基金(61561001)和北方民族大学重点科研基金(2015KJ10)资助项目.
通信作者:高岳林(1963-),陕西榆林人,教授,博士,主要从事最优化理论方法及应用,智能计算机与智能信息处理研究.E-mail:1787958385@qq.com
更新日期/Last Update: 2018-06-20