Music Melodies Suited to Multiple Users' Feelings Composed by Asynchronous Distributed Interactive Genetic Algorithm
Kota Nomura, Makoto Fukumoto · International Journal of Software Innovation · 2018
This article aims to compose music melody suited for multiple users' feelings by employing parallel Distributed Interactive Genetic Algorithm (DIGA). In the DIGA, each user proceeds into a general Interactive Genetic Algorithm (IGA) process by evaluating solution candidates subjectively. In some generations, individuals in IGA are exchanged between the users. With the exchange, each of the users is affected by other users' feelings. As a result, obtaining good solutions suited for all users is expected. The authors conducted listening experiments for investigating the efficiency of the DIGA for composition of a music melody. Two experimental conditions with and without the exchange were employed. Ten people participated in the experiment as subjects, and were paired for the IGA task. The experimental results showed that a higher fitness was obtained in the final generation and similar melodies were obtained with the exchange.