Abstract
Harmony search (HS) is a meta-heuristic optimization method imitating the music improvisation process where musicians improvise their instruments’ pitches searching for a perfect state of harmony. HS is a reliable, accurate and robust optimization technique scheme for global optimization over continuous spaces. This paper presents an, improved variants of HS algorithm, called the Modified Harmony search (MHS). Performance comparisons of the proposed methods are provided against the original HS and two improved variant of HS such as Improved Harmony search (IHS) and global-best Harmony search (GHS). The Modified Harmony search algorithm on several benchmark optimization problems shows a marked improvement in performance over the traditional HS, HIS and GHS.
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Satapathy, S.C., Naik, A. (2013). Modified Harmony Search for Global Optimization. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_34
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DOI: https://doi.org/10.1007/978-3-642-35314-7_34
Publisher Name: Springer, Berlin, Heidelberg
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