Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics

被引：0
|
作者：
Sasaki, Tomoyuki [1 ,2 ]
Nakano, Hidehiro [1 ]
Miyauchi, Arata [1 ]
Taguchi, Akira [1 ]
机构：
[1] Tokyo City Univ, Dept Comp Sci, Setagaya Ku, 1-28-1 Tamazutsumi, Tokyo 1558557, Japan
[2] Japan Soc Promot Sci, Tokyo, Japan
来源：
2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) | 2016年
关键词：
D O I：
10.1109/SCIS&ISIS.2016.193
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose piecewise-linear particle swarm optimizer (PPSO). PPSO is one of the deterministic PSO. Each particle of PPSO has two dynamics which is convergence dynamics and divergence dynamics. The trajectory of each particle is switched between these two dynamics and the particle exhibits chaotic behavior. We investigate the solving performances of PPSO for these two dynamics. Furthermore, the solving performances of PPSO are compared with those of the other PSO methods in the numerical
引用
收藏
页码：287 / 292
页数：6
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