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Ref. | Hybrid algorithm | Description | Application | Performance |
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[51] | SA | PAR is modified by using the cooling concept of SA | Travelling salesman problem | Improve reliability |
[52] | PSO | BW is replaced with the concept of global-best particle | Optimization problems | Improve performance |
[53] | DPSO | PAR is dynamically updated by using the concept of DPSO | PID controller | Improve performance |
[54] | CSA | CSA is employed to improve the harmony vectors in HSA | Fuzzy classification system | Better classification accuracy |
[55] | GA, SA, AIS | GA, SA, and AIS are used to improve the solutions stored in HM | Task scheduling | Better convergence, avoid the local optima |
[56] | GA, PSO | Genetic mutation and position updating mechanism are used to improve the performance | Reliability problems | Higher exploration capability |
[A44] | SQP | SQP is employed to improve the local search | Optimization problems | Improve the effectiveness and robustness of HSA |
[57] | FCM | FCM is integrated into HSA for improving the convergence | Clustering | Superior performance |
[58] | DE | DE is employed to fine tune the harmony vectors | Optimization problems | Improvement in performance |
[59] | Taguchi | Taguchi is used to initialize the harmony memory | Shape optimization | Avoid premature convergence |
[60] | NM-SA | NM-SA is employed to enhance the search capability of HSA | Optimization problems | Better exploration capability |
[71] | GDL-FLANN | Search capability of GDL is used to optimize the weight of FLANN | Classification | Enhance the classification accuracy |
[61] | Fuzzy logic | Fuzzy rules are used to select the best rules in fuzzy-based system | Medical diagnosis | Improve the efficiency |
[62] | CS | Mutation operator is employed to improve the harmony in HSA | Optimization problems | Improve the convergence |
[63] | ACO | The concepts of ACO are incorporated into HSA | Optimal location of structural dampers | Improve the convergence rate |
[65] | FA | HSA is used to mutate the fireflies for escaping the solutions, which are being trapped into local optima | Optimization problems | Less computational cost |
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