Interactive Evolutionary Computation (IEC) spreads its area of applications. As an example of the applications, we have already proposed an IEC that optimizes fragrance composition suited to each user's feelings by using Interactive Differential Evolution (IDE). To create the fragrance, six aroma sources were mixed, and the intensity of them were target of optimization. Paired comparison was employed as subjective evaluation method. To enhance searching ability of the IDE method, this study proposes a new IDE utilizing both of evolution level of DE's vector (solution candidate) and time information required in user's selection in the paired comparison. In other words, shorter time duration required in the selection is considered as there is larger difference of fitness level between two vectors. Winner vector tended to have chance to evolve itself. These schemes in the proposed method are expected to accelerate searching better solutions. In this study, we constructed an IDE system optimizing fragrances based on the proposed method. Furthermore, with the IDE system, we conducted smelling experiments for investigating the fundamental efficiency of the proposed method. Target of creation was relaxing fragrance. The experimental results showed that obtained fragrances in the last generation was evaluated better than fragrances in initial generation significantly (P<0.01).

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: With progress of information technology, vocal sounds have been able to edit by software. However, it is still difficult for beginner users to control vocal quality with reflecting users' intention. This study proposed a method that optimizes vocal sound suited to each user's intention by using Interactive Genetic Algorithm (IGA). IGA is an interactive type of Genetic Algorithm (GA), which is one of evolutionary algorithms searching optimal solutions. IGA employs user's subjective evaluation as fitness function in GA. Target of the proposed IGA was to find better and best parameters of vocal quality. Listening experiments were conducted to investigate the fundamental efficacy of the proposed IGA. Eleven subjects evaluated vocal sounds presented from a system based on the proposed IGA. To create vocal sounds, VOCALOID, software synthesizes vocal sounds was used. Results of the experiments showed that the proposed IGA successfully searched better parameters of vocal quality.

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