Applications of a multi-objective genetic algorithm to engineering design problems
2003 (English)In: Evolutionary Multi-Criterion Optimization Second International Conference, EMO 2003, Faro, Portugal, April 8–11, 2003. Proceedings / [ed] Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Lothar Thiele and Kalyanmoy Deb, Springer Berlin/Heidelberg, 2003, Vol. 2632, 737-751 p.Chapter in book (Refereed)
This paper presents. the usage of a multi-objective genetic algorithm to a set of engineering design problems. The studied problems span from detailed design of a hydraulic pump to more comprehensive system design. Furin] thermore, the problems are modeled using-dynamic simulation models, response surfaces based on FE-models as well as static equations. The proposed method is simple and straight forward and it does not require any problem specific parameter tuning. The studied problems have all been successfully solved with the same algorithm without any problem specific parameter tuning. The resulting Pareto frontiers have proven very illustrative and supportive for the decisionmaker.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2003. Vol. 2632, 737-751 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 2632
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-53547DOI: 10.1007/3-540-36970-8_52ISBN: 3-540-01869-7ISBN: 978-3-5400-1869-8OAI: oai:DiVA.org:liu-53547DiVA: diva2:289433