A Proposal for Distributed Interactive Genetic Algorithm for Composition of Musical Melody

Makoto Fukumoto; Takeshi Hatanaka

doi:10.52731/iee.v3.i2.200

Makoto Fukumoto Fukuoka Institute of Technology
Takeshi Hatanaka Fukuoka Institute of Technology

DOI: https://doi.org/10.52731/iee.v3.i2.200

Keywords: : Interactive Genetic Algorithm, Multiple Users, Composition, Music Melody

Abstract

This study proposes an Interactive Evolutionary Computation that creates sound contents for multiple users. Sound contents including music piece and sign sound are often used for creating common atmosphere and transmitting a certain message to everyone. The proposed method is based on parallel distributed Interactive Genetic Algorithm (IGA). As a special property of this method, in some generations, solution candidates are exchanged between the users. With the exchange, each of the users is affected by other users’ feelings: good solutions for all of the users are expected to be obtained. Based on the proposed method, we constructed an IGA system for fundamentally investigating efficiencies of the proposed method. Aim of the IGA system is to create a short music melody commonly affording bright image to multiple users. Key of the notes was treated as gene of the IGA. Music chord progression is attached to the melody when it is presented to the subjects. In listening experiment, sixteen subjects divided into eight pairs, and two subjects participated in the evaluation process simultaneously. Experimental results showed increase in mean fitness values between the subjects.

Author Biographies

Makoto Fukumoto, Fukuoka Institute of Technology

Professor

Department of Computer Science and Engineering

Takeshi Hatanaka, Fukuoka Institute of Technology

T. Hatanaka already graduated from Fukuoka Inst. Tech. So e-mail written avobe may does not work now.

(Comment from M. Fukumoto)

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