Logistics Route Optimization Based on Improved Fish Swarm Algorithm

Feng Kai Xu

doi:10.4028/www.scientific.net/AMM.713-715.1761

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Logistics Route Optimization Based on Improved...

Logistics Route Optimization Based on Improved Fish Swarm Algorithm

Abstract:

In order to achieve a low cost and low exhaust pollution in logistics distribution path. In view of the shortages of existing genetic algorithm and ant colony algorithm which have the characteristics of some limitations, such as ant colony algorithm's convergence slow, easy going, the characteristics of such as genetic algorithm premature convergence in the process of path optimization, process complex, the paper proposed the improved artificial fish swarm algorithm in order to solve logistics route optimization problem. At last, through simulation experiment, the improved artificial fish swarm algorithm is proved correct and effective.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1761-1764

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1761

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Online since:

January 2015

Authors:

Feng Kai Xu*

Keywords:

Improved Artificial Fish Swarm Algorithm, Logistics Distribution, Simulation Experiment

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* - Corresponding Author

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