Presentation 2006/7/26
Tabu search mechanism for Genetic Algorithm on Large-Scale Computing Environments
Yoshiko HANADA, Tomoyuki HIROYASU, Mitsunori MIKI,
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Abstract(in English) Mechanisms to use massive computation resources laconically and to search effectively are necessary if large-scale computer systems are available. In our approach, we define the scalability as increases in search regions against the increase in computing resources or costs. In this study, we apply GA-specific database for restart strategies and Tabu Search focussing on avoidance of redundancy in searches. At the same time, local search is applied to the space that is not searched for effective utilization of idle computation nodes using individuals stored in the database. In this paper, we discuss the basic topic how to apply the proposed database into GA, and effective utilizations of the database such as re-use of past search informations for restarts.
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Keyword(in English) genetic algorithm / database / tabu・search / large-scale computing environments
Paper # CPSY2006-20
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Committee CPSY
Conference Date 2006/7/26(1days)
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Registration To Computer Systems (CPSY)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tabu search mechanism for Genetic Algorithm on Large-Scale Computing Environments
Sub Title (in English)
Keyword(1) genetic algorithm
Keyword(2) database
Keyword(3) tabu・search
Keyword(4) large-scale computing environments
1st Author's Name Yoshiko HANADA
1st Author's Affiliation Graduate School of Engineering, Doshisha University()
2nd Author's Name Tomoyuki HIROYASU
2nd Author's Affiliation Department of Engineering, Doshisha University
3rd Author's Name Mitsunori MIKI
3rd Author's Affiliation Department of Engineering, Doshisha University
Date 2006/7/26
Paper # CPSY2006-20
Volume (vol) vol.106
Number (no) 199
Page pp.pp.-
#Pages 6
Date of Issue