Abstract
The harmony search algorithm (HSA) is one of the most widely used meta-heuristic optimization algorithms. During the last two decades, many improved versions and variants of HSA have been proposed to improve the algorithms efficiency and usability. In this study, a HSA variant with unique structural characteristics is proposed, named multi-layered harmony search algorithm (MLHSA). The multi-layered structure is specifically designed for the effective improvement of exploration and exploitation capability. The proposed MLHSA is applied to a set of benchmark problems to test and verify the efficiency. The application results show that MLHSA outperforms other meta-heuristic algorithms, indicating the competitiveness of the algorithm. The multi-layer concept can be easily employed to other algorithms, as a helpful tool for the improvement of existing algorithms convergence.
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Acknowledgements
This research was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) under no. 2016R1A2A1A05005306.
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Lee, H.M., Yoo, D.G., Lee, E.H., Choi, Y.H., Kim, J.H. (2017). Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure. In: Del Ser, J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-10-3728-3_2
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DOI: https://doi.org/10.1007/978-981-10-3728-3_2
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