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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...
Autores principales: | Wang, Hailong, Hu, Zhongbo, Sun, Yuqiu, Su, Qinghua, Xia, Xuewen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
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 |
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