Journal
COMPUTERS & STRUCTURES
Volume 102, Issue -, Pages 14-27Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2012.03.016
Keywords
Frequency constraint structural optimization; Hybridization; Charged System Search and the Big Bang-Big Crunch (CSS-BBBC); Truss structures
Funding
- Iran National Science Foundation
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Frequency constraint structural optimization includes the exploration of highly nonlinear and non-convex search spaces with several local optima. These characteristics of the search spaces increase the possibility of the agents getting trapped in a local optimum, when using a meta-heuristic algorithm. In this paper a diversity index is introduced which together with a few other criteria, can be employed to recognize such traps. By the use of these concepts, a hybridization of the Charged System Search and the Big Bang-Big Crunch algorithms with trap recognition capability is proposed. Five numerical examples are considered to demonstrate the efficiency of the algorithm. (C) 2012 Elsevier Ltd. All rights reserved.
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