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

[Display omitted] ► A novel optimization algorithm called the mine blast algorithm (MBA). ► MBA with embedded constraint handling methods is proposed. ► MBA outperforms numerous metaheuristic methods in terms of solutions and convergence. ► The function values are reduced to near optimum solution in...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Applied soft computing Ročník 13; číslo 5; s. 2592 - 2612
Hlavní autoři: Sadollah, Ali, Bahreininejad, Ardeshir, Eskandar, Hadi, Hamdi, Mohd
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.05.2013
Témata:
Constrained optimization
Constraint handling
Engineering design problems
Global optimization
Metaheuristic
Mine blast algorithm
Constraint handling
Metaheuristic
Global optimization
Engineering design problems
Mine blast algorithm
Constrained optimization
ISSN:1568-4946, 1872-9681
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:[Display omitted] ► A novel optimization algorithm called the mine blast algorithm (MBA). ► MBA with embedded constraint handling methods is proposed. ► MBA outperforms numerous metaheuristic methods in terms of solutions and convergence. ► The function values are reduced to near optimum solution in the early iterations. 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.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2012.11.026