Analysis for basic dynamics and performances of piecewise particle swarm optimizers
Analysis for basic dynamics and performances of piecewise particle swarm optimizers
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DOI：
10.1109/smc.2016.7844735
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
Tomoyuki Sasaki;H. Nakano;A. Miyauchi;A. Taguchi
中科院分区：
文献类型：
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作者：
Tomoyuki Sasaki;H. Nakano;A. Miyauchi;A. Taguchi
在我们之前的研究中，提出了分段线性粒子群优化器（PPSO）。 PPSO 中每个粒子的动力学可以通过收敛和发散模式的两个阈值来控制。每个阈值可以由粒子的轨迹和系统参数确定。然而，寻找所需解决方案的这些阈值的条件尚未明确。本文通过理论分析和数值实验对这些条件进行了研究。此外，在数值实验中比较了阈值模式的求解性能。
In our previous study, a piecewise-linear particle swarm optimizer (PPSO) has been proposed. The dynamics of each particle in PPSO can be controlled by two thresholds for convergence and divergence modes. Each threshold can be determined by the particle's trajectory and the system parameters. However, the conditions of these thresholds for finding desired solutions have not been clarified. In this paper, these conditions are investigated by the theoretical analysis and numerical experiments. Furthermore, the solving performances for threshold patterns are compared in the numerical experiments.