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Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
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DOI：10.1016/j.asoc.2012.11.026.png)
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摘要
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A novel population-based algorithm based on the mine bomb explosion concept, called the mine blast algorithm (MBA), is applied to the constrained optimization and engineering design problems. A comprehensive comparative study has been carried out to show the performance of the MBA over other recognized optimizers in terms of computational effort (measured as the number of function evaluations) and function value (accuracy). Sixteen constrained benchmark and engineering design problems have been solved and the obtained results were compared with other well-known optimizers. The obtained results demonstrate that, the proposed MBA requires less number of function evaluations and in most cases gives better results compared to other considered algorithms. (C) 2012 Elsevier B. V. All rights reserved.
Keyword:
Mine blast algorithm
Metaheuristic
Constrained optimization
Engineering design problems
Constraint handling
Global optimization
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期刊
IF:
6.6
论文数:
1.4W
被引数:
5.7W
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Constraint-handling in genetic algorithms through the use of dominance-based tournament selection
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