Review Article
A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications
Table 6
Improvement in HSA with multiobjective algorithms.
| Ref. | Algorithm | Description | Application | Performance |
| [44] | MOHSA | Ranking method is used for Pareto-optimal solutions | Project planning | Improve the performance | [45] | MOHSA | Pareto-optimality used | Design of mobile robot | Maximize the stability and minimize the mass of robot | [46] | MOHSA | Ranking assignment and Pareto-optimality are employed in HSA | Optimization problems | Better convergence, good solutions | [47] | MOHSA | Self-adaptive mechanism is incorporated in MOHSA | Water distribution network | Improve the performance | [48] | MaDHSA | External archive is employed to rank and store nondominated solutions | Software remodularization problem | Improvement in accuracy | [49] | MBHSA | Nondominated sorting-based crowding distance is employed to enhance the diversity | Benchmark problems | Improve convergence and diversity | [50] | MPAHSA | Weighted sum approach is used for assigning the weightage to performance indicators | Disk-brake and helical spring problems | Improve performance |
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