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EnglishThe Big Bang-Big Crunch (BB−BC) algorithm is a recently developed metaheuristic optimization method that mimics the process of evolution of the universe. The inherent simplicity of BB−BC is very attractive for structural optimization experts but the huge computational cost entailed by the optimization process is a serious obstacle to the large-scale diffusion of BB−BC. To overcome this problem, at least in the case of sizing optimization problems of truss structures, the paper presents an improved BB−BC formulation where each new trial design is always forced to lie on a descent direction. The efficiency of the new BB−BC algorithm is demonstrated by a trade study carried out on four classical weight minimization problems of truss structures that include various amounts of non-convexity in the design space
| Autori: | |
| Titolo: | A fast Big Bang-Big Crunch optimization algorithm for weight minimization of truss structures |
| Data di pubblicazione: | 2011 |
| Nome del convegno: | 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering |
| ISBN: | 978-1-905088-49-2 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.4203/ccp.97.11 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11589/18867
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