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

Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics
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DOI：
10.1109/scis-isis.2016.0068
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发表时间：
2016-08
期刊：
2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS)
影响因子：
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通讯作者：
Tomoyuki Sasaki;H. Nakano;A. Miyauchi;A. Taguchi
Tomoyuki Sasaki;H. Nakano;A. Miyauchi;A. Taguchi
中科院分区：
其他
文献类型：
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作者：
Tomoyuki Sasaki;H. Nakano;A. Miyauchi;A. Taguchi

文献摘要

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在本文中，我们提出分段线性粒子群优化器（PPSO）。 PPSO是确定性PSO中的一种。 PPSO的每个粒子都有两种动力学，即收敛动力学和发散动力学。每个粒子的轨迹在这两种动力学之间切换，并且粒子表现出混沌行为。我们研究了 PPSO 对这两种动力学的求解性能。此外，在数值实验中将PPSO的求解性能与其他PSO方法的求解性能进行了比较。
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 experiments.