Interactive evolutionary computation framework and the on-chance operator for product design

Authors:
Leuo-hong Wang;Meng-yuan Sung;Chao-fu Hong
Affiliations:
Evolutionary Computation Laboratory, Department of Information Management, Aletheia University, Taiwan;Graduate School of Management Sciences, Aletheia University, Taiwan;Evolutionary Computation Laboratory, Department of Information Management, Aletheia University, Taiwan
Venue:
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Year:
2006

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Abstract

Traditionally, product design problem is usually solved by means of the conjoint analysis methods. However, the conjoint analysis methods suffer from evaluation fatigue. An interactive evolutionary computation (IEC) framework for product design has been thus proposed in this paper. The prediction module taking care of evaluation fatigue is the main part of this framework. In addition, since the evaluation function of product design is an additive utility function, designing operators which heavily utilizes the prediction results becomes possible. The on-chance operator is thus defined in this paper as well. The experimental results indicated the on-chance operator can speed up IEC and improve the quality of solution at the same time.