A New Quantum-Behaved Particle Swarm Optimization with a Chaotic Operator

被引：0
|
作者：
Wu, Zhenghua [1 ]
Wu, Dongmei [1 ]
Hu, Haidong [2 ]
Wang, Chuangye [3 ]
Gao, Hao [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing, Jiangsu, Peoples R China
[2] Beijing Inst Control Engn, Beijing, Peoples R China
[3] State Grid Guzhen Elect Power Co, Bengbu, Peoples R China
来源：
INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II | 2017年 / 762卷
关键词：
Particle swarm optimization; Quantum-behaved; Chaotic operator;
D O I：
10.1007/978-981-10-6373-2_17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Particle Swarm Optimization has attracted many researcher to do further improvement on many real world problems. The quantum-behaved PSO is tested as an effective improved PSO for getting preferable results on many problems. In this paper, we introduce a chaotic operator into QPSO for further enhancing its global and local searching abilities. The experiments results show that, compared with the other PSOs, our algorithm gets more efficient results. It could be applied in more complex real world problems in our future work.
引用
收藏
页码：164 / 170
页数：7
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