An Application of Fitness Inference Method Following the Change of Evaluation Criterion

概要

論文の詳細を見る
Interactive Evolutionary Computation (IEC) is one of the effective methods for optimization problems which is difficult to formulate the evaluation function such as human sensitivity. This method, however, gives a big burden to the user because he/she himself/herself has to evaluate the candidates of solutions a lot of times. This paper employs fitness inference method to reduce the burden for evaluation. When fitness inference method is applied to IEC, it can be a problem that the evaluation criterion for user has changed with the passage of time and/or impression given by the effects of other candidates. Because the fitness inference method infers the fitness values of candidates using the information of the actually evaluated solutions and their fitness values in previous generations. This paper proposes the fitness inference method with varying the number of actual evaluation for candidates based on the accuracy of inference for fitting the change of evaluation criterion of user. The proposed method can reduce the burden of evaluation following the user's evaluation criterion. This paper applies the proposed method to hearing aid adjustment support system by IEC and investigates the effectiveness of this method.
日本知能情報ファジィ学会の論文