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2018•Unpublished venueRequires access

Research on Swarm Size of Multi-swarm Particle Swarm Optimization Algorithm

Yong Shen, Yan Li, Hongwei Kang, Yuhao Zhang, Xingping Sun, Qingyi Chen, Jian Peng, Haoyu Wang

Open publisher page 31 citations

Abstract

Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO). The swarm size of the multi-swarm particle swarm optimization (MSPSO) algorithm is an important characteristic of the algorithm. The number of particles and the number of swarms will affect the performance of the algorithm to varying degrees. The algorithm performance of multi-swarm particle swarm optimization algorithm is studied from the perspective of swarm size.

About this research paper

What this paper is about

Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO). The swarm size of the multi-swarm particle swarm optimization (MSPSO) algorithm is an important characteristic of the algorithm. The number of particles and the number of swarms will affect the performance of the algorithm to varying degrees. The algorithm performance of multi-swarm particle swarm optimization algorithm is studied from the perspective of swarm size.

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO). The swarm size of the multi-swarm particle swarm optimization (MSPSO) algorithm is an important characteristic of the algorithm. The number of particles and the number of swarms will affect the performance of the algorithm to varying degrees. The algorithm performance of multi-swarm particle swarm optimization algorithm is studied from the perspective of swarm size.

Key concepts: Multi-swarm optimization, Particle swarm optimization, Swarm behaviour, Metaheuristic, Meta-optimization, Mathematical optimization, Algorithm, Parallel metaheuristic

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