Review Article

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

Table 6

Improvement in HSA with multiobjective algorithms.

Ref.AlgorithmDescriptionApplicationPerformance

[44]MOHSARanking method is used for Pareto-optimal solutionsProject planningImprove the performance
[45]MOHSAPareto-optimality usedDesign of mobile robotMaximize the stability and minimize the mass of robot
[46]MOHSARanking assignment and Pareto-optimality are employed in HSAOptimization problemsBetter convergence, good solutions
[47]MOHSASelf-adaptive mechanism is incorporated in MOHSAWater distribution networkImprove the performance
[48]MaDHSAExternal archive is employed to rank and store nondominated solutionsSoftware remodularization problemImprovement in accuracy
[49]MBHSANondominated sorting-based crowding distance is employed to enhance the diversityBenchmark problemsImprove convergence and diversity
[50]MPAHSAWeighted sum approach is used for assigning the weightage to performance indicatorsDisk-brake and helical spring problemsImprove performance