A novel comprehensive learning artificial bee colony optimizer for dynamic optimization biological problems

There are many dynamic optimization problems in the real world, whose convergence and searching ability is cautiously desired, obviously different from static optimization cases. This requires an optimization algorithm adaptively seek the changing optima over dynamic environments, instead of only fi...

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Detalles Bibliográficos
Autores principales: Su, Weixing, Chen, Hanning, Liu, Fang, Lin, Na, Jing, Shikai, Liang, Xiaodan, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372393/
https://www.ncbi.nlm.nih.gov/pubmed/28386198
http://dx.doi.org/10.1016/j.sjbs.2017.01.044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372393/
https://www.ncbi.nlm.nih.gov/pubmed/28386198
http://dx.doi.org/10.1016/j.sjbs.2017.01.044

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