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- W2353274672 abstract "This paper proposes and implements a new approach to parallel Ant Colony Optimization(ACO) algorithms by changing the behavior of ACO. In view of the shortcomings for ant algorithms' stagnant, by improving selection strategies, a new selection and search strategies with parallel adaptive mechanisms are implemented, so as to strengthen its global search capability, and the method of data parallel is used to reduce communication time between processors and get a better solution. The performance of the proposed parallel algorithm, applied to the Traveling Salesman Problem(TSP), is investigated and evaluated with respect to solution quality and computational effort. Experimental results demonstrate that the proposed algorithm outperforms the sequential ant colony system as well as the existing parallel ACO algorithms." @default.
- W2353274672 created "2016-06-24" @default.
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- W2353274672 date "2009-01-01" @default.
- W2353274672 modified "2023-09-24" @default.
- W2353274672 title "Parallel ACO Algorithm Based on Multiple Ant Colony" @default.
- W2353274672 hasPublicationYear "2009" @default.
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