Algorithm composition of Chinese folk music based on swarm intelligence Online publication date: Tue, 14-Nov-2017
by Xiaomei Zheng; Lei Wang; Dongyang Li; Lin Shen; Yanyuan Gao; Weian Guo; Yushan Wang
International Journal of Computing Science and Mathematics (IJCSM), Vol. 8, No. 5, 2017
Abstract: Particle swarm optimisation (PSO), which is a kind of typical swarm intelligent algorithm, simulates the process of birds searching for food to solve optimisation problems. In this paper, a Chinese folk composition model based on PSO algorithm is put forward. The concept of multi-melody space is constructed for the traditional pentatonic music creation. The multi-melody space PSO algorithm called MSPA searches the solution in melody space. Experimental results show that the model is feasible and effective in the process of Chinese folk music composition.
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