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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765 | 2018 |
Cheng, J., Wang, L., Jiang, Q., & Xiong, Y. (2018). A novel cuckoo search algorithm with multiple update rules. Applied Intelligence, 48(11), 4192-4211.
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Major :
Computer Science
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764 | 2018 |
Gupta, S., & Deep, K. (2018). Random walk grey wolf optimizer for constrained engineering optimization problems. Computational Intelligence, 34(4), 1025-1045.
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Major :
Computer Science
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DOWNLOAD LINK |
763 | 2018 |
Amirsadri, S., Mousavirad, S. J., & Ebrahimpour-Komleh, H. (2018). A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training. Neural Computing and Applications, 30(12), 3707-3720.
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Major :
Computer Science
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DOWNLOAD LINK |
762 | 2018 |
Babalik, A., Cinar, A. C., & Kiran, M. S. (2018). A modification of tree-seed algorithm using Deb’s rules for constrained optimization. Applied Soft Computing, 63, 289-305.
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Major :
Computer Science
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761 | 2018 |
Korkmaz, S., & Kiran, M. S. (2018). An artificial algae algorithm with stigmergic behavior for binary optimization. Applied Soft Computing, 64, 627-640.
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Major :
Computer Science
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DOWNLOAD LINK |
760 | 2018 |
Huang, S. H., Huang, Y. H., Blazquez, C. A., & Paredes-Belmar, G. (2018). Application of the ant colony optimization in the resolution of the bridge inspection routing problem. Applied soft computing, 65, 443-461.
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Major :
Computer Science
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DOWNLOAD LINK |
759 | 2018 |
Araujo, L., Martinez-Romo, J., & Duque, A. (2018). Discovering taxonomies in Wikipedia by means of grammatical evolution. Soft Computing, 22(9), 2907-2919.
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Major :
Computer Science
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DOWNLOAD LINK |
758 | 2018 |
Ng, K. K. H., Lee, C. K., Chan, F. T., & Lv, Y. (2018). Review on meta-heuristics approaches for airside operation research. Applied Soft Computing, 66, 104-133.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
757 | 2018 |
Sadollah, A., Sayyaadi, H., & Yadav, A. (2018). A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm. Applied Soft Computing, 71, 747-782.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
756 | 2018 |
Noorbin, S. F. E. H., & Alfi, A. (2018). Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems. Soft Computing, 22(23), 7939-7960.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
755 | 2018 |
Amiri, E., & Dehkordi, M. N. (2018). Dynamic data clustering by combining improved discrete artificial bee colony algorithm with fuzzy logic. International Journal of Bio-Inspired Computation, 12(3), 164-172.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
754 | 2018 |
Dubey, H. M., Pandit, M., & Panigrahi, B. K. (2018). An overview and comparative analysis of recent bio-inspired optimization techniques for wind integrated multi-objective power dispatch. Swarm and Evolutionary Computation, 38, 12-34.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
753 | 2018 |
Mahdavi, S., Rahnamayan, S., & Deb, K. (2018). Opposition based learning: A literature review. Swarm and evolutionary computation, 39, 1-23.
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Major :
Computer Science
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DOWNLOAD LINK |
752 | 2018 |
Hu, H., Cai, Z., Hu, S., Cai, Y., Chen, J., & Huang, S. (2018). Improving monarch butterfly optimization algorithm with self-adaptive population. Algorithms, 11(5), 71.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
751 | 2018 |
Torabi, S., & Safi-Esfahani, F. (2018). Improved raven roosting optimization algorithm (IRRO). Swarm and Evolutionary Computation, 40, 144-154.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
750 | 2018 |
Bansal, J. C., Gopal, A., & Nagar, A. K. (2018). Stability analysis of artificial bee colony optimization algorithm. Swarm and evolutionary computation, 41, 9-19.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
749 | 2018 |
Al-Dabbagh, R. D., Neri, F., Idris, N., & Baba, M. S. (2018). Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy. Swarm and Evolutionary Computation, 43, 284-311.
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Major :
Computer Science
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748 | 2018 |
Nenavath, H., Jatoth, R. K., & Das, S. (2018). A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking. Swarm and Evolutionary Computation, 43, 1-30.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
747 | 2018 |
Nayak, C. K., & Nayak, M. R. (2018). Technoeconomic analysis of a grid-connected PV and battery energy storage system considering time of use pricing. Turkish Journal of Electrical Engineering & Computer Sciences, 26(1), 318-329.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |
746 | 2018 |
Ibrahim, R. A., Abd Elaziz, M., & Lu, S. (2018). Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization. Expert Systems with Applications, 108, 1-27.
Citation
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Major :
Computer Science
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DOWNLOAD LINK |