AMHS: Archive-Based Multi-objective Harmony Search Algorithm

Meta-heuristics have been widely used in both science and industry as reliable alternatives to conventional optimization algorithms to solve challenging, real-world problems. Despite being general-purpose and having a black-box nature, they require changes to solve multi-objective optimization problems. This paper proposes a multi-objective version of harmony search based on the archive. Archive, grid, and leader selection mechanisms are applied in multi-objectives of HS. Five real-engineering problems are evaluated with the results of three indexes. Based on the results, the AMHS is capable of providing acceptable results than other alternatives.