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A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour

机译：粒子群优化漫游行为的可扩展性分析

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摘要

This paper investigates the effect of problem size on the roaming behaviour of particles in the particle swarm optimization (PSO) algorithm. Both the extent and impact of the roaming behaviour in the absence of boundary constraints is investigated, as well as the PSO algorithm's ability to find good solutions outside of the area in which particles are initialized. Four basic PSO variations and a diverse set of real parameter benchmark problems were used as basis for the investigation. Problem size was found to have a significant impact on algorithm performance and roaming behaviour. The larger the problem is that is being considered, the more important it is to address roaming behaviour.
机译：本文研究了粒子群优化（PSO）算法中问题大小对粒子漫游行为的影响。研究了在没有边界约束的情况下漫游行为的程度和影响，以及PSO算法在粒子初始化区域之外找到良好解决方案的能力。四个基本的PSO变体和一组实际参数基准测试问题被用作调查的基础。发现问题大小对算法性能和漫游行为具有重大影响。考虑的问题越大，解决漫游行为就越重要。

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