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• W1760734474 abstract "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." @default.
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• W1760734474 date "2004-03-22" @default.
• W1760734474 modified "2023-09-26" @default.
• W1760734474 title "A genetic approach to planning in heterogeneous computing environments" @default.
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• W1760734474 doi "https://doi.org/10.1109/ipdps.2003.1213199" @default.
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