NDLI: On adapting migration parameters for multi-population genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Wen-Yang Lin Tzung-Pei Hong Shu-Min Liu
Copyright Year	2004
Description	Author affiliation: Dept. of Information Manage., I-Shou Univ., Kaohsiung, Taiwan (Wen-Yang Lin)
Abstract	In recent years, multi-population genetic algorithms (MGAs) have been recognized as being more effective both in speed and solution quality than single-population genetic algorithms (SGAs). Despite of these advantages, the behavior and performance of MGAs, like SGAs, are still heavily affected by a judicious choice of parameters, such as connection topology, migration method, migration interval, migration rate, population number, etc. In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in particular, the effect of adapting the migration interval as well as migration rate on the performance and solution quality of MGAs. Thereby, we propose an adaptive scheme to evolve the appropriate migration interval and migration rate for MGAs. Experiments on the 0/1 knapsack problem showed that our approach can compete with MGAs with static migration parameters.
Starting Page	5731
Ending Page	5735
File Size	296679
Page Count	5
File Format	PDF
ISBN	0780385667
ISSN	1062922X
DOI	10.1109/ICSMC.2004.1401108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-10
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Topology Size control Information management Robustness Parallel processing Humans Costs Immune system Guidelines
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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