‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm

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Journal Title
Journal ISSN
Volume Title
School of Engineering | A4 Artikkeli konferenssijulkaisussa
Date
2009
Major/Subject
Mcode
Degree programme
Language
en
Pages
12
Series
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.
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Keywords
optimization, genetic algorithm, heuristics, structures
Other note
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).