Abstract
The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. In this chapter, we propose two modified HS methods to handle the multi-modal and constrained optimization problems. The first modified HS method employs a novel HS memory management approach to handle the multi-modal problems. The second modified HS method utilizes the Pareto-dominance technique, and it targets at the constrained problems. Several simulation examples are used to demonstrate and verify the effectiveness of our new HS methods.
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Gao, X.Z., Wang, X., Ovaska, S.J. (2009). Harmony Search Methods for Multi-modal and Constrained Optimization. In: Geem, Z.W. (eds) Music-Inspired Harmony Search Algorithm. Studies in Computational Intelligence, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00185-7_3
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DOI: https://doi.org/10.1007/978-3-642-00185-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00184-0
Online ISBN: 978-3-642-00185-7
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