Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems

Bilal Ahmed (Universiti Putra Malaysia)
Hazlina Hamdan (Universiti Putra Malaysia)
Abdullah Muhammed (Universiti Putra Malaysia)
Nor Azura Husin (Universiti Putra Malaysia)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 27, No 1: July 2022

Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algorithms. HSA is a modern - nature algorithm that simulates the musicians’ natural process of musical improvisation to enhance their instrument’s note to find a state of pleasant (harmony) according to aesthetic standards. Lots of variants of HSA have been suggested to tackle combinatorial optimization problems. They range from hybridizing some components of other metaheuristic approaches (to improve the HSA) to taking some concepts of HSA and utilizing them to improve other metaheuristic methods. This stud y reviews research pertaining to parameter settings of HSA and its applications to efficiently solve hard combinatorial optimization problems.