Inertia Weight Selection Strategy Based On Lyapunov Stability Analysis

机译：基于Lyapunov稳定性分析的惯性权重选择策略

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摘要

In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.

机译：本文采用李雅普诺夫稳定性理论分析标准粒子群优化算法的稳定性，并从分析结果中获得了随机惯性权重选择策略。仿真结果表明，该随机策略可以提供有效的性能。

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《Hybrid Intelligent Systems, 2009. HIS '09》|2009年|p.1-6|共6页
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作者
Weibing Fan; Zhihua Cui; Jianchao Ceng;
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正文语种
中图分类人工智能理论;
关键词
particle swarm optimization; Lyapunov function; stability;

机译：粒子群算法;李雅普诺夫函数;稳定性;

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Inertia Weight Selection Strategy Based On Lyapunov Stability Analysis

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