Dynamic optimization of migration topology in internet-based distributed genetic algorithms
Berntsson, Johan & Tang, Maolin (2005) Dynamic optimization of migration topology in internet-based distributed genetic algorithms. In Proceedings of 2005 Genetic and Evolutionary Computation Conference, ACM, Washington, D.C., pp. 1579-1580.
Distributed Genetic Algorithms (DGAs) designed for the Internet have to take its high communication cost into consideration. For island model GAs, the migration topology has a major impact on DGA performance. This paper describes and evaluates an adaptive migration topology optimizer that keeps the communication load low while maintaining high solution quality. Experiments on benchmark problems show that the optimized topology outperforms static or random topologies of the same degree of connectivity. The applicability of the method on real-world problems is demonstrated on a hard optimization problem in VLSI design.
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|Item Type:||Conference Paper|
|Keywords:||genetic algorithms, internet computing, migration topology, adaptation|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2005 The authors|
|Deposited On:||18 Dec 2012 04:38|
|Last Modified:||13 Feb 2013 16:35|
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