Application Research about the Chaos Ant Colony Algorithm in Emergency Logistics Distribution Routing Optimization

Abstract:

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In this essay, the solution about emergency logistics distribution routing optimization has been analyzed by quantitative methods, and the mathematic model focusing on trying the best to shorten distribution time has been established, in which the actual situations of the pathways and the shortage of goods at each affected point have been considered in order to keep further close to the real circumstances where had suffered disaster. Using the Chaos Ant Colony Algorithm solves the mathematic model. The experimental simulation indicates that the arithmetic is feasible and effective to settle the problem about the optimization of emergency logistics distribution route.

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Edited by:

Feng Xiong

Pages:

1733-1738

DOI:

10.4028/www.scientific.net/AMR.268-270.1733

Citation:

T. Fei et al., "Application Research about the Chaos Ant Colony Algorithm in Emergency Logistics Distribution Routing Optimization", Advanced Materials Research, Vols. 268-270, pp. 1733-1738, 2011

Online since:

July 2011

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Price:

$35.00

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