Mine blast algorithm for optimization of truss structures with discrete variables
Document Type
Article
Publication Date
1-1-2012
Abstract
In this study a novel optimization method is presented, the so called mine blast algorithm (MBA). The fundamental concepts and ideas of MBA are derived from the explosion of mine bombs in real world. The efficiency of the proposed optimizer is tested via the optimization of several truss structures with discrete variables and its performance is compared with several well-known metaheuristic algorithms. The results show that MBA is able to provide faster convergence rate and also manages to achieve better optimal solutions compared to other efficient optimizers. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords
optimization mine blast algorithm truss structures discrete variables metaheuristic particle swarm optimizer harmony search genetic algorithms design optimization heuristic algorithm
Divisions
fac_eng
Publication Title
Computers & Structures
Volume
102