# Music-Inspired Optimization Algorithms: From Past to Present

## Abstract

This chapter illustrates the definition of music with regard to its historical roots and then denotes the different interpretations of music from the standpoint of well-known philosophers and scientists. A concise history of music is presented through a review of archaeological evidence. Besides these initial topics, Chap. 3 deals with the music-inspired meta-heuristic optimization algorithms from past to present: the single-stage computational single-dimensional harmony search algorithm (SS-HSA); the single-stage computational single-dimensional improved harmony search algorithm (SS-IHSA); and the continuous two-stage computational, multidimensional, single-homogeneous melody search algorithm (TMS-MSA). This chapter also helps readers to identify the enhancements applied on the original SS-HSA in the form of a structural classification, including (1) the enhanced versions of the original SS-HSA, based on parameter adjustments; (2) enhanced versions of the original SS-HSA, according to a combination of this algorithm with other meta-heuristic optimization algorithms; and (3) enhanced versions of the original SS-HSA, in accordance with architectural principles. Finally, the chapter elaborates on reasonability and applicability of the music-inspired meta-heuristic optimization algorithms from past to present for solving complicated, real-world, large-scale, non-convex, non-smooth optimization problems and, subsequently, outlines a valuable background for elucidating innovative versions of the music-inspired meta-heuristic optimization algorithms in Chap. 4.

## Keywords

Music Music-inspired meta-heuristic optimization algorithms Continuous two-stage computational, multidimensional, single-homogeneous melody search algorithm (TMS-MSA) Single-stage computational single-dimensional harmony search algorithm (SS-HSA) Single-stage computational single-dimensional improved harmony search algorithm (SS-IHSA)## References

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