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A parallel implementation of ant colony optimization
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DOI：10.1006/jpdc.2002.1854.png)
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Ant Colony Optimization is a relatively new class of meta-heuristic search techniques for optimization problems. As it is a population-based technique that examines numerous solution options at each step of the algorithm, there are a variety of parallelization opportunities. In this paper, several parallel decomposition strategies are examined. These techniques are applied to a specific problem, namely the travelling salesman problem, with encouraging speedup and efficiency results. (C) 2002 Elsevier Science (USA)
Keyword:
ant colony optimization
parallelization
travelling salesman problem
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