IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Special Section on Selected Papers from the 20th Workshop on Circuits and Systems in Karuizawa
Migration Effects of Parallel Genetic Algorithms on Line Topologies of Heterogeneous Computing Resources
Yiyuan GONGSenlin GUANMorikazu NAKAMURA
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2008 Volume E91.A Issue 4 Pages 1121-1128

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Abstract

This paper investigates migration effects of parallel genetic algorithms (GAs) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is evaluated experimentally on two types of arrangements of heterogeneous computing resources: the ascending and descending order arrangements. Migration effects are evaluated from the viewpoints of scalability, chromosome diversity, migration frequency and solution quality. The results reveal that the performance of parallel GAs strongly depends on the design of the chromosome migration in which we need to consider the arrangement of heterogeneous computing resources, the migration frequency and so on. The results contribute to provide referential scheme of implementation of parallel GAs on heterogeneous computing resources.

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© 2008 The Institute of Electronics, Information and Communication Engineers
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