Title

A Genetic Approach To Planning In Heterogeneous Computing Environments

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.

Publication Date

1-1-2003

Publication Title

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IPDPS.2003.1213199

Socpus ID

84947209330 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84947209330

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