Modified Harmony Search Methods for Uni-Modal and Multi-Modal Optimization

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	Similar Articles Articles by X.Z. Gao Articles by X. Wang Articles by S.J. Ovaska

2008 Eighth International Conference on Hybrid Intelligent Systems

September 10-September 12

ISBN: 978-0-7695-3326-1

	ASCII Text	x
	X.Z. Gao, X. Wang, S.J. Ovaska, "Modified Harmony Search Methods for Uni-Modal and Multi-Modal Optimization," Hybrid Intelligent Systems, International Conference on, pp. 65-72, 2008 Eighth International Conference on Hybrid Intelligent Systems, 2008.

	BibTex	x
	@article{ 10.1109/HIS.2008.20, author = {X.Z. Gao and X. Wang and S.J. Ovaska}, title = {Modified Harmony Search Methods for Uni-Modal and Multi-Modal Optimization}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3326-1}, pages = {65-72}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2008.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Modified Harmony Search Methods for Uni-Modal and Multi-Modal Optimization SN - 978-0-7695-3326-1 SP65 EP72 A1 - X.Z. Gao, A1 - X. Wang, A1 - S.J. Ovaska, PY - 2008 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

X.Z. Gao

X. Wang

S.J. Ovaska

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2008.20

The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. In this paper, we propose two modified HS methods to deal with the uni-modal and multi-modal optimization problems. The first modified HS method is based on the fusion of the HS and Differential Evolution (DE) technique, namely, HS-DE. The DE is employed here to optimize the members of the HS memory. The second modified HS method utilizes a novel HS memory management approach, and it targets at handling the multi-modal problems. Several nonlinear functions are used to demonstrate and verify the effectiveness of our two new HS methods.

Citation:

X.Z. Gao, X. Wang, S.J. Ovaska, "Modified Harmony Search Methods for Uni-Modal and Multi-Modal Optimization," his, pp.65-72, 2008 Eighth International Conference on Hybrid Intelligent Systems, 2008

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