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Erschienen in:
1995 | OriginalPaper | Buchkapitel
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem
verfasst von : I. De Falco, R. Del Balio, E. Tarantino
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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There exist many sequential heuristic combinatorial techniques to efficiently solve a wide set of problems. Researchers are proposing new parallel versions for them so as to take advantage of the power offered by parallel computers. In this paper new locally-linked parallel versions for two such techniques, Tabu Search and Genetic Algorithms, are proposed and tested on different-sized items of the Task Allocation Problem, one of the most challenging optimisation problems.