A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Table 3

Improvement in the variants of HSA.

Ref.	Algorithm	Description	Application	Performance
[24]	LAHSA	Learning automata is employed to improve the performance	Optimization problems	Less computational time
[25]	VHSA	Variance of harmony memory is used to improve the harmony vectors	Clustering	Good performance
[26]	PSFHSA	Each variable is associated with matrix of memorizing operation types	Water distribution network design	Eliminate the parameter tuning problem
[27]	APSFHSA	Additional memory is not used during the improvisation process	Optimization problems	Better performance than PSFHSA
[28]	APFHSA	Self-adaption mechanism is employed to tune the parameters	Groundwater pollution problem	Better exploration and exploitation
[29]	MPSFHSA	Pitch adjustment step is modified	Concrete beam design	Better performance than PSFHSA