Dynamic Shannon Performance in a Multiobjective Particle Swarm Optimization

Particle swarm optimization (PSO) is a search algorithm inspired by the collective behavior of flocking birds and fishes. This algorithm is widely adopted for solving optimization problems involving one objective. The evaluation of the PSO progress is usually measured by the fitness of the best part...

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Detalles Bibliográficos
Autores principales: Pires, E. J. Solteiro, Machado, J. A. Tenreiro, Oliveira, P. B. de Moura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515356/
http://dx.doi.org/10.3390/e21090827

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