Presentation 2005-06-24
Objective Function Adjustment Algorithm for Combinatorial Optimization Problems
Hiroki TAMURA, Zheng TANG, Masahiro ISHII,
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Abstract(in English) In this paper, we proposed an improved algorithm of Guided Local Search (GLS) for Combinatorial Optimization problems, which is called Objective function Adjustment algorithm. The performance of GLS is improved by the proposed method using multipliers which can be adjusted during the search process. Moreover, the idea of Tabu search is introduced into the proposed method to further improve the performance. The proposed method is analyzed theoretically and evaluated experimentally through simulating the Traveling Salesman Problems. The simulation results showed that the proposed method could find better solutions than GLS and Tabu search.
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Keyword(in English) Guided Local Search / Traveling Salesman Problems / Objective function Adjustment algorithm / Tabu search
Paper # COMP2005-18
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Committee COMP
Conference Date 2005/6/17(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Objective Function Adjustment Algorithm for Combinatorial Optimization Problems
Sub Title (in English)
Keyword(1) Guided Local Search
Keyword(2) Traveling Salesman Problems
Keyword(3) Objective function Adjustment algorithm
Keyword(4) Tabu search
1st Author's Name Hiroki TAMURA
1st Author's Affiliation Faculty of Engineering, Toyama University()
2nd Author's Name Zheng TANG
2nd Author's Affiliation Faculty of Engineering, Toyama University
3rd Author's Name Masahiro ISHII
3rd Author's Affiliation Faculty of Engineering, Toyama University
Date 2005-06-24
Paper # COMP2005-18
Volume (vol) vol.105
Number (no) 144
Page pp.pp.-
#Pages 4
Date of Issue