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GECCO
2005
Springer

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

9 years 9 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
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 islandmodel 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. Categories and Subject Descriptors: D.2 Software Engineering: Miscellaneous General Terms: Performance Reliability Algorithms
Johan Berntsson
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Johan Berntsson
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