G2DGA: an adaptive framework for internet-based distributed genetic algorithms

Authors:
Johan Berntsson
Affiliations:
Queensland University of Technology, QLD, Australia
Venue:
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Year:
2005

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Abstract

The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these differences. This paper presents a framework for Internet island model DGAs that uses adaptation methods to maintain efficiency and robustness in a volatile and dynamic run-time environment. The applicability of the methods is demonstrated on benchmark tests, and a real-world optimization problem in VLSI design.