NDLI: An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments

Content Provider	IEEE Xplore Digital Library
Author	Hanada, Y. Hiroyasu, T. Miki, M.
Copyright Year	2003
Description	Author affiliation: Graduate Sch. of Eng., Doshisha Univ., Kyoto, Japan (Hanada, Y.)
Abstract	Recently, GA that uses large-scale computer systems comprised of massive processors has become feasible because of the emergence of super PC clusters and grid computation environments. Mechanisms to use massive computation resources laconically and to search effectively are necessary if large-scale computer systems are available. In this study, a new GA-specific database with the local search mechanism to assure the scalability of search performances against the number of computing resources is proposed. Our database possesses information of searched space, and in addition, the local search for nonsearched spaces is applied using individuals stored in the database. To embed our database in a GA enables us to comprehend the quantitative rate of a searched region during searches. Applying this local search, the searched space can be expanded linearly in accordance with the increase in computing resources and the exhaustive search is guaranteed under infinite computations. The features of the introduced GA are discussed with reference to several types of experiments. This method was applied to primitive functions and test functions of continuous optimization problems. Through such experiments, it was shown that our method ensures an effective exhaustive search and has almost the same performance as a conventional GA.
Starting Page	1974
Ending Page	1981
File Size	5120072
Page Count	8
File Format	PDF
ISBN	0780393635
DOI	10.1109/CEC.2005.1554937
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-02
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Large-scale systems Grid computing Scalability Spatial databases Optimization methods Parallel processing Costs Home computing Testing
Content Type	Text
Resource Type	Article

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