Improved Harmony Search from Ensemble of Music Players

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Abstract

A music phenomenon-inspired algorithm, harmony search was further developed by considering ensemble among music players. The harmony search algorithm conceptualizes a group of musicians together trying to find better state of harmony, where each player produces a sound based on one of three operations (random selection, memory consideration, and pitch adjustment). In this study, one more operation (ensemble consideration) was added to the original algorithm structure. The new operation considers relationship among decision variables, and the value of each decision variable can be determined from the strong relationship with other variables. The improved harmony search algorithm was applied to the design of water distribution network. Results showed that the improved algorithm found better solution than those of genetic algorithm, simulated annealing, and original HS algorithm.