Scheme of Big-Data Supported Interactive Evolutionary Computation

Abstract

Abstract. On the one hand, for the limitation that a user in Interactive Evolutionary Computation (IEC) is apt to feel tired during the solutions evaluation, the result of IEC is not so desirable. On the other hand, the many-years and many-users accumulated data of the evaluation in IEC is enormous, which could be a pool of information about users' preference. By mining the big data of accumulated evaluation information, preference models can be established to form a model repository. When a new coming customer tries to get his/her favorite design aided by IEC, the nearest model in the repository can be selected as the result of model matching and the corresponding optimum can be directly transferred to accelerate the optimization. For this purpose, transfer learning is adopted. The simulated experiments validated this scheme and showed that the performance of big-data supported IEC is more related with volume of the models in big data, but less related with problems' difficulty.

Interactive Evolutionary Computation with Artificial Bee Colony Method for Multimodal Preferences Retrieval

“…The interactive evolutionary computation (IEC) method is a technique that optimizes and retrieves candidate solutions using the Kansei information of users [1]. Systems using the IEC method include the color scheme search [2], music recommendation [3], and big data searching support system [4] among many others. IEC systems usually use a genetic algorithm (GA) for evolutionary computation (EC) operation.…”

9th Kansei Engineering and Emotion Research Conference. KEER2022 : Barcelona. 6-8 September 2022 : proceedings

“…The IEC method is a technique that optimizes and retrieves candidate solutions using the Kansei information of users (Takagi, 2001). Systems using the IEC method include the music generation systems (Yamaguchi & Fukumoto, 2019) and big data searching support system (Hao et al, 2017), among many others.…”

Character Design Generation System Using Multiple Users' Gaze Information

“…Using evaluation values from humans is effective for solving problems that emphasize human sensitivity. The systems using IEC method include color scheme search system [2], music recommendation system [3], big data searching support system [4], and so on.…”