Abstract
Harmony Search optimization algorithm has become popular in many fields of engineering research and practice during the last decade. This paper introduces three major rules of the algorithm: harmony memory considering (HMC) rule, random selecting (RS) rule, and pitch adjusting (PA) rule, and shows the effect of each rule on the algorithm performance. Application of example benchmark function proves that each rule has its own role in the exploration and exploitation processes of the search. Good balance between the two processes is very important, and the PA rule can be a key factor for the balance if used intelligently.
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References
Moh’d Alia, O., Mandava, R.: The variants of the harmony search algorithm: an overview. Artificial Intelligence Review 36(1), 49–68 (2011)
Blum, C., Roli, A.: Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys (CSUR) 35(3), 268–308 (2003)
Blum, C., Roli, A.: Hybrid metaheuristics: an introduction. In: Blum, C., Aguilera, M.J.B., Roli, A., Sampels, M. (eds.) Hybrid Metaheuristics, vol. 114, pp. 1–30. Springer, Heidelberg (2008)
Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)
Kim, J.H., Geem, Z.W., Kim, E.S.: Parameter estimation of the nonlinear Muskingum model using harmony search. Journal of the American Water Resources Association 37(5), 1131–1138 (2001)
Geem, Z.W.: Music-inspired Harmony Search Algorithm: Theory and Applications. Springer (2009)
Ahangaran, M., Ramesani, P.: Harmony search algorithm: strengths and weaknesses. Journal of Computer Engineering and Information Technology (2013)
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© 2016 Springer-Verlag Berlin Heidelberg
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Kim, J.H., Lee, H.M., Yoo, D.G. (2016). Investigating the Convergence Characteristics of Harmony Search. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_1
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DOI: https://doi.org/10.1007/978-3-662-47926-1_1
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Online ISBN: 978-3-662-47926-1
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