Chaotic Particle Swarm Optimization with Mutation for Classification

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence i...

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Detalles Bibliográficos
Autores principales: Assarzadeh, Zahra, Naghsh-Nilchi, Ahmad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335141/
https://www.ncbi.nlm.nih.gov/pubmed/25709937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335141/
https://www.ncbi.nlm.nih.gov/pubmed/25709937

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