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A Genetic Approach to Planning in Heterogeneous Computing Environments

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A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search methods often used to solve complex optimization problems. In this paper, we propose a genetic approach to planning in the context of workflow management and process coordination on a heterogenous grid. We report results for two planning problems, the Towers of Hanoi and the Sliding-tile puzzle.
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where IPPS
Authors Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel
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