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《Journal of Jiangxi Normal University(Natural Science Edition)》 2018-03
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The Chicken Swarm Optimization Algorithm Based on Fuzzy Reasoning

SHI Xudong;GAO Yuelin;School of Mathematics and Computer,Ningxia University;Research Institute of Information and System Computation Science,Beifang University of Nationalities;  
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.
【Fund】: 国家自然科学基金(61561001);; 北方民族大学重点科研基金(2015KJ10)资助项目
【CateGory Index】: TP18
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