Partheno Genetic Ant Colony Optimization Algorithm and its Application

Abstract:

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Ant colony algorithm is a kind of effective combinatorial optimization problem solving algorithm has been increasingly, thorough research, and gradually get used. Ant colony algorithm is a set of parameters, the algorithm, a lack of adequate experiences often. The paper has put forward a single genetic character of ant colony algorithm. Will the ant colony algorithm each search results as the initial population, single genetic improvement, for the shortest route optimization. In the traveling salesman problem of the experiments prove the effectiveness of the proposed algorithm.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

1132-1136

DOI:

10.4028/www.scientific.net/AMR.143-144.1132

Citation:

G. L. Wang et al., "Partheno Genetic Ant Colony Optimization Algorithm and its Application", Advanced Materials Research, Vols. 143-144, pp. 1132-1136, 2011

Online since:

October 2010

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Price:

$35.00

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