Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality

Graham, Kevin Carrie; Thomson, Sarah Louise; Brownlee, Alexander Edward Ian

Abstract

We study the behaviour of particle swarm optimisation (PSO) with increasing problem dimension for the Alpine 1 function as an exploratory and preliminary case study. Performance trends are analysed and the tuned population size for PSO across dimensions is considered. While performance generally decreases monotonically with scale, there is an unexpected improvement in performance part way along the trend. This also appears to coincide with a counterintuitive transition from large to small populations being preferred, and underlines the challenge, and importance of, selecting the right algorithm and configuration for the problem at each increase in dimensionality.

Citation

Graham, K. C., Thomson, S. L., & Brownlee, A. E. I. (2023, July). Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. Presented at GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, Lisbon, Portugal

• Presentation Conference Type: Conference Paper (published)
• Conference Name: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
• Start Date: Jul 15, 2023
• End Date: Jul 19, 2023
• Acceptance Date: May 1, 2023
• Online Publication Date: Jul 24, 2023
• Publication Date: 2023-07
• Deposit Date: Aug 16, 2023
• Publisher: Association for Computing Machinery (ACM)
• Pages: 67-68
• ISBN: 9798400701207
• DOI: https://doi.org/10.1145/3583133.3596433
• Keywords: Particle Swarm Optimization (PSO), numerical optimization, largescale optimization
• Public URL: http://researchrepository.napier.ac.uk/Output/3169613