An improved genetic algorithm for task allocation in distributed embedded systems

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An improved genetic algorithm for task allocation in distributed embedded systems

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents

London, England

POSTER SESSION: Genetic algorithms: posters table of contents

Pages: 1534 - 1534

Year of Publication: 2007

ISBN:978-1-59593-697-4

Authors

Allan Tengg	Graz University of Technology, Graz, Austria
Andreas Klausner	Graz University of Technology, Graz, Austria
Bernhard Rinner	Klagenfurt University, Klagenfurt, Austria

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	A. Klausner, B. Rinner, and A. Tengg. I-SENSE: Intelligent embedded multi-sensor fusion. In Proceedings of the 4th IEEE International Workshop on Intelligent Solutions in Embedded Systems (WISES), Austria, June 2006.
	2	Jens Gottlieb, On the Feasibility Problem of Penalty-Based Evolutionary Algorithms for Knapsack Problems, Proceedings of the EvoWorkshops on Applications of Evolutionary Computing, p.50-59, April 18-20, 2001