Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms

H
HIS
2004
Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
Abstract - Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms

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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)

Kitakyushu, Japan

December 05-December 08

ISBN: 0-7695-2291-2

	ASCII Text	x
	Hisao Ishibuchi, Kaname Narukawa, "Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms," Hybrid Intelligent Systems, International Conference on, pp. 404-409, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.

	BibTex	x
	@article{ 10.1109/ICHIS.2004.32, author = {Hisao Ishibuchi and Kaname Narukawa}, title = {Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2291-2}, pages = {404-409}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.32}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms SN - 0-7695-2291-2 SP404 EP409 A1 - Hisao Ishibuchi, A1 - Kaname Narukawa, PY - 2004 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Hisao Ishibuchi, Osaka Prefecture University

Kaname Narukawa, Osaka Prefecture University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.32

We compare two implementation schemes of local search in hybrid evolutionary multiobjective optimization algorithms. One is based on the weighted sum of multiple objectives, and the other is based on Pareto dominance. These two implementation schemes are compared with each other through computational experiments on a knapsack problem and a flowshop scheduling problem. We also examine a simple modification of the weighted sum-based scheme.

Citation:

Hisao Ishibuchi, Kaname Narukawa, "Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms," his, pp.404-409, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004

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