Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems

Authors:
Ali Sadollah;Ardeshir Bahreininejad;Hadi Eskandar;Mohd Hamdi
Affiliations:
Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;Faculty of Engineering, Semnan University, Semnan, Iran;Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
Venue:
Applied Soft Computing
Year:
2013

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Abstract

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.