Creation of Delicious Mixed Juices for Multiple Users based on Distributed Interactive Genetic Algorithm
- Resource Type
- Conference
- Authors
- Fukumoto, Makoto; Hanada, Yoshiko
- Source
- 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2023 IEEE International Conference on. :2433-2438 Oct, 2023
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Statistical analysis
Search methods
Sociology
IEC
Machine learning
Media
Market research
- Language
- ISSN
- 2577-1655
Creating media content suited to many users' feelings is essential in a situation with multiple users' participation. Interactive Evolutionary Computation (IEC) is a search method that finds good solutions; however, it is originally for each user. Previous studies proposed that IEC creates mixed juices for two users. Allowing many users' participation contributes to finding good solutions suited to many users and will support developing good products. This study aims to propose an IEC in which trio of users can participate. The elite Genetic Algorithm individuals were exchanged between the users in this method. A concrete system based on the proposed method was constructed, and the experiment was conducted with the system. Fifteen students participated in the experiment. Changes in the fitness values and search space were investigated. Furthermore, the exchanged individuals were compared with the individuals created by the examinee's population by their fitness values. The statistical analyses showed that the proposed method could find good mixed juices for the trio of examinees, and the exchange of the elite individuals had the potential for an efficient search.