Particle swarm and population structure

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2018_gecco_pso.pdf (1.06 MB)

Date

2018-07-06

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Publisher

Association for Computing Machinery, Inc
2018 Genetic and Evolutionary Computation Conference, GECCO 2018

Abstract

We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.

Description

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Keywords

POPULAÇÃO, OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS, PARTICLE SWARM OPTIMIZATION, POPULATION

Citation

Rosa, A C, Fachada, N, Laredo, J L J, Merelo, J J & Fernandes, C M D C 2018, Particle swarm and population structure. in GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Inc, pp. 85-86, 2018 Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, 15/07/18. https://doi.org/10.1145/3205651.3205779

URI

https://hdl.handle.net/10437/10192

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ECATI - Atas de Conferências Internacionais