Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems

The backtracking search optimization algorithm (BSA) is a population-based evolutionary algorithm for numerical optimization problems. BSA has a powerful global exploration capacity while its local exploitation capability is relatively poor. This affects the convergence speed of the algorithm. In th...

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Detalles Bibliográficos
Autores principales: Wang, Hailong, Hu, Zhongbo, Sun, Yuqiu, Su, Qinghua, Xia, Xuewen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831937/
https://www.ncbi.nlm.nih.gov/pubmed/29666635
http://dx.doi.org/10.1155/2018/9167414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831937/
https://www.ncbi.nlm.nih.gov/pubmed/29666635
http://dx.doi.org/10.1155/2018/9167414

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