Applications of a multi-objective genetic algorithm to engineering design problems

Authors:
Johan Andersson
Affiliations:
Department of Mechanical Engineering, Linköping University, Linköping, Sweden
Venue:
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Year:
2003

Citing 4
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Abstract

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. Furthermore, 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.