Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
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
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发表时间：
2013-05-01
影响因子：
8.7
通讯作者：
Hamdi, Mohd
中科院分区：
文献类型：
--
作者：
Sadollah, Ali;Bahreininejad, Ardeshir;Hamdi, Mohd
基于地雷爆炸概念，提出了一种新的基于种群的算法，称为地雷爆炸算法（MBA），用于求解约束优化和工程设计问题。一个全面的比较研究已经进行了显示性能的MBA超过其他公认的优化计算工作量（衡量的功能评估的数量）和功能值（准确性）。十六约束基准和工程设计问题已经解决，并得到的结果与其他知名的优化。所得到的结果表明，所提出的MBA需要更少的功能评估，并在大多数情况下给出了更好的结果相比，其他考虑的算法。(C)2012年爱思唯尔B。V.保留所有权利。
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.