‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm
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School of Engineering |
A4 Artikkeli konferenssijulkaisussa
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Date
2009
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Mcode
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Language
en
Pages
12
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Abstract
This paper presents two techniques, the ‘healing’ and ‘repairing’ that can reduce optimization time when using genetic algorithm for structural optimization. The techniques can be applied to: (a) quickly find feasible designs from completely infeasible set of alternatives, and (b) to make the best infeasible designs feasible. These procedures are implemented into a genetic algorithm ‘VOP’. The performance of the original and the modified version of the algorithm are compared with the widespread genetic algorithm ‘NSGA-II’ for the weight optimization of a 40 000 DWT chemical tanker midship section. The results show that these procedures can decrease the optimization time by approximately half.Description
Keywords
optimization, genetic algorithm, heuristics, structures
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Citation
Jelovica, Jasmin & Klanac, Alan. 2009. ‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm. Proceedings of the 10th Finnish Mechanics Days (Suomen mekaniikan päivät 2009).