Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In this research, we propose an automatic generation method of melody used interactive genetic algorithm according to specified tone row in order to reflect user's favorite. User provides tone rows to us first, and we design a fitness function of tone rows based on the melodic line which is a part of general music theory and characteristic of provided tones. Next, GA operations such as crossover, mutation and selection are operated in the search space of two octaves, and the groups of tone rows obtained relatively higher evaluation are generated and provided back to user. According to the interactive genetic algorithm user evaluates subjectively these groups of tone rows generated by GA. In this paper, we confirm the effectiveness of this system by constructing the simulator that generates tone rows and accompaniments, and executing the comparison questionnaire of melodies made by the simulator and user.
