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The Proceedings of OPTIS
Interactive genetic algorithms ( iGAs )are 皿 ethods that acquire and analyse nser preference based on user , s sub − jective evaluation . IGA has been applied to various unimedal problems , such as parameter setting of a hear 主 ng aid and fashiDn des } gn . On the other hand, the goal of this study is achieving iGA which also corresponds to multimoda 玉 preferences wj もh equivalent 且tness at the peaks . R 〕r example , when users select products on shopplng sites , they have several types ofdoi:10.1299/jsmeoptis.2008.8.103 fatcat:kbbz34pxpveuve24q7moylk3hq