A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems

A Guiding Evolutionary Algorithm (GEA) with greedy strategy for global optimization problems is proposed. Inspired by Particle Swarm Optimization, the Genetic Algorithm, and the Bat Algorithm, the GEA was designed to retain some advantages of each method while avoiding some disadvantages. In contras...

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Detalles Bibliográficos
Autores principales: Cao, Leilei, Xu, Lihong, Goodman, Erik D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887642/
https://www.ncbi.nlm.nih.gov/pubmed/27293421
http://dx.doi.org/10.1155/2016/2565809

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887642/
https://www.ncbi.nlm.nih.gov/pubmed/27293421
http://dx.doi.org/10.1155/2016/2565809

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