Publications
The Harmony Search algorithm (HSA) publicatons found in Web of Science are applied in about 25 major fields (e.g., civil engineering, computer science, industrial engineering, business, economy, art).
whether it has one objective function (Single) or two or more objective function (Multi).
1) (Single) publications were classified as HS Operator, Parameter, Population-based and Hybrid.
· HS Operator : Papers that transform operators such as HMC and PA
· Parameter : Papers that used the modified equations for determining the values of HMCR, PAR, and BW
· Population-based : Papers in which HM divided into several groups (parallel calculation, solution exchange, etc.)
· Hybrid : Papers optimized by using other optimization algorithm’s operators are combined to improve search ability
2) (Multi) publications were classified as Non-Pareto or Pareto-based.
· Non-Pareto : Papers that select the optimal solutions through weighting method, etc.
· Pareto-based : Papers that select the optimal solutions through Pareto model

No. | Year | Journal Information |
Major | DOWNLOAD |
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785 | 2013 |
Poursalehi, N., Zolfaghari, A., & Minuchehr, A. (2013). PWR loading pattern optimization using Harmony Search algorithm. Annals of Nuclear Energy, 53, 288-298.
HS
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Major :
Civil Engineering (Energy)
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DOWNLOAD LINK |
784 | 2013 |
Aghaie, M., Nazari, T., Zolfaghari, A., Minuchehr, A., & Shirani, A. (2013). Investigation of PWR core optimization using harmony search algorithms. Annals of Nuclear Energy, 57, 1-15.
Application
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HS
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Major :
Civil Engineering (Energy)
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DOWNLOAD LINK |
783 | 2013 |
De Corte, A., & Sörensen, K. (2013). Optimisation of gravity-fed water distribution network design: A critical review. European Journal of Operational Research, 228(1), 1-10.
Application
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HS
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/
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Major :
Civil Engineering (Water Resources)
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DOWNLOAD LINK |
782 | 2013 |
Yoon, S., Jeong, C., & Lee, T. (2013). Application of harmony search to design storm estimation from probability distribution models. Journal of Applied Mathematics, 2013.
Application
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HS
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Major :
Civil Engineering (Water Resources)
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DOWNLOAD LINK |
781 | 2013 |
Ayvaz, M. T., & Elçi, A. (2013). A groundwater management tool for solving the pumping cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-Solver optimization algorithm. Journal of Hydrology, 478, 63-76.
Application
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HS
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/
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Major :
Civil Engineering (Water Resources)
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DOWNLOAD LINK |
780 | 2018 |
Cheraghalipour, A., Hajiaghaei-Keshteli, M., & Paydar, M. M. (2018). Tree Growth Algorithm (TGA): A novel approach for solving optimization problems. Engineering Applications of Artificial Intelligence, 72, 393-414.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
779 | 2018 |
Duc, L. A., Li, K., Nguyen, T. T., Yen, V. M., & Truong, T. K. (2018). A new effective operator for the hybrid algorithm for solving global optimisation problems. International Journal of Systems Science, 49(5), 1088-1102.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
778 | 2018 |
Zhuoran, Z., Changqiang, H., Hanqiao, H., Shangqin, T., & Kangsheng, D. (2018). An optimization method: hummingbirds optimization algorithm. Journal of Systems Engineering and Electronics, 29(2), 386-404.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
777 | 2018 |
Yassine, A. A., Kingsford, W., Xu, Y., Cassidy, J., Lilge, L., & Betz, V. (2018). Automatic interstitial photodynamic therapy planning via convex optimization. Biomedical optics express, 9(2), 898-920.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
776 | 2018 |
Mitikiri, P., Jana, G., Sural, S., & Chattaraj, P. K. (2018). A machine learning technique toward generating minimum energy structures of small boron clusters.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
775 | 2018 |
Sur, C., & Shukla, A. (2018). Discrete bacteria foraging optimization algorithm for graph based problems–a transition from continuous to discrete. Journal of Experimental & Theoretical Artificial Intelligence, 30(2), 345-365.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
774 | 2018 |
Abdel-Basset, M., Hessin, A. N., & Abdel-Fatah, L. (2018). A comprehensive study of cuckoo-inspired algorithms. Neural Computing and Applications, 29(2), 345-361.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
773 | 2018 |
Nabaei, A., Hamian, M., Parsaei, M. R., Safdari, R., Samad-Soltani, T., Zarrabi, H., & Ghassemi, A. (2018). Topologies and performance of intelligent algorithms: a comprehensive review. Artificial Intelligence Review, 49(1), 79-103.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
772 | 2018 |
Osaba, E., Carballedo, R., Diaz, F., Onieva, E., Masegosa, A. D., & Perallos, A. (2018). Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems. Neurocomputing, 271, 2-8.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
771 | 2018 |
García, J., Crawford, B., Soto, R., Castro, C., & Paredes, F. (2018). A k-means binarization framework applied to multidimensional knapsack problem. Applied Intelligence, 48(2), 357-380.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
770 | 2018 |
Fattahi, E., Bidar, M., & Kanan, H. R. (2018). Focus group: an optimization algorithm inspired by human behavior. International Journal of Computational Intelligence and Applications, 17(01), 1850002.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
769 | 2018 |
Borkar, P., & Sarode, M. V. (2018). Modality of teaching learning based optimization algorithm to reduce the consistency ratio of the pair-wise comparison matrix in analytical hierarchy processing. Evolving Systems, 9(2), 169-180.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
768 | 2018 |
Ghanem, W. A., & Jantan, A. (2018). Hybridizing artificial bee colony with monarch butterfly optimization for numerical optimization problems. Neural Computing and Applications, 30(1), 163-181.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
767 | 2018 |
Nayak, J., Naik, B., Behera, H. S., & Abraham, A. (2018). Elitist teaching–learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis. Neural Computing and Applications, 30(5), 1445-1468.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
766 | 2018 |
Liu, W., Luo, N., Pan, G., & Ouyang, A. (2018). Chaos particle swarm optimization algorithm for optimization problems. International Journal of Pattern Recognition and Artificial Intelligence, 32(11), 1859019.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |