Abstract
A technical plan for realizing user toolkit for innovation (UTI) is proposed to release the vast creative energy of users, and help to make users qualified for the subject of innovation work. The model discussed in this paper is mainly aiming at two key problems in user innovation: 1) the essentials and technical access for the innovaiton style in the non-professional background of the ordinary users; 2) mechanism for driving innovaiton and optimization through user’s evaluation message. Interactive genetic algorithms (IGA) is applied to plan the functions of UTI, and is improved in several aspects for the demands of user innovation: 1) designed a selection based interactive evaluation method; 2) introduced market data as a kind of evaluation information; 3)built an integral user innovation decision making system; 4) visualized the optimizaion process, which enriched user’s perceptive interaction with UTI during working. The model also made regulations to IGA’s inner process, which strengthened IGA’s analyzing and mining ability to user’s evaluation information through latent local optimal chart making, solution space down-sizing and continuity building for discrete space.
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