Particle swarm and population structure
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Data
2018-07-06
Título da revista
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Editora
Association for Computing Machinery, Inc
2018 Genetic and Evolutionary Computation Conference, GECCO 2018
2018 Genetic and Evolutionary Computation Conference, GECCO 2018
Resumo
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.
Descrição
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Palavras-chave
POPULAÇÃO, OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS, PARTICLE SWARM OPTIMIZATION, POPULATION
Citação
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