Abstract
Harmony Search Algorithm (HSA) is one of the efficient optimization algorithms among various optimization algorithms proposed over the years. In literature, many variants of the Harmony search algorithms are proposed based on the various ideas. In this article the exploration ability of the four HS algorithms are compared. An experimental comparative study of exploration ability of different versions of HS algorithms is done. The article provides a detailed explorative abilities of various HS algorithms. The comparison is based on the theoretical studies performed inĀ [1]. The theoretical conclusions of the exploration analysis are justified with experimental studies. This article concludes with the searching ability of various HS algorithms along with their ranking with most explorative HS algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Das, S., Mukhopadhyay, A., Roy, A., Abraham, A., Panigrahi, B.K.: Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization. IEEE Trans. Syst. Man Cybern. Part B Cybern. 41(1), 89ā106 (2011)
Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60ā68 (2001)
Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. 188(2), 1567ā1579 (2007)
Omran, M.G.H., Mahdavi, M.: Global-best harmony search. Appl. Math. Comput. 198(2), 643ā656 (2008)
Pan, Q.K., Suganthan, P.N., Tasgetiren, M.F., Liang, J.J.: A self-adaptive global best harmony search algorithm for continuous optimization problems. Appl. Math. Comput. 216(3), 830ā848 (2010)
Yadav, A., Deep, K.: Shrinking hypersphere based trajectory of particles in PSO. Appl. Math. Comput. 220, 246ā267 (2013)
Yadav, A., Deep, K.: An efficient co-swarm particle swarm optimization for non-linear constrained optimization. J. Comput. Sci. 5(2), 258ā268 (2014)
Yadav, A., Deep, K., Kim, J.H., Nagar, A.K.: Gravitational swarm optimizer for global optimization. Swarm Evol. Comput. 31, 64ā89 (2016)
Yadav, A., Yadav, N., Kim, J.H.: A study of harmony search algorithms: exploration and convergence ability. In: Kim, J.H., Geem, Z.W. (eds.) ICHSA2015. AISC, vol. 382, pp. 53ā62. Springer, Heidelberg (2016). doi:10.1007/978-3-662-47926-1_6
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yadav, A., Yadav, N., Kim, J.H. (2017). A Comparative Study of Exploration Ability of Harmony Search Algorithms. 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_4
Download citation
DOI: https://doi.org/10.1007/978-981-10-3728-3_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3727-6
Online ISBN: 978-981-10-3728-3
eBook Packages: EngineeringEngineering (R0)