用复杂网络分析解释粒子群优化的内部动力学

2022 IEEE Workshop on Complexity in Engineering (COMPENG) Pub Date : 2022-07-18 DOI:10.1109/COMPENG50184.2022.9905435

Michal Pluhacek, T. Kadavy, Anezka Kazikova, Adam Viktorin, R. Šenkeřík

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引用次数: 0

摘要

本文给出了粒子群优化算法的内部动力学与记录种群中信息传递的复杂网络的性质之间的关系。以种群多样性为例，我们认为复杂网络分析是评估种群状态和适应性干预最终必要性的可行工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis

In this paper, we present the relation between the inner dynamics of the particle swarm optimization algorithm and the properties of a complex network recording the information transfer in the population. Using population diversity as an example, we argue that the complex network analysis is a viable tool for assessing the state of the population and the eventual necessity of an adaptive intervention.

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2022 IEEE Workshop on Complexity in Engineering (COMPENG)

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