Logistics Center Location Selection Based on the Algorithm of Hybrid Particle Swarm Optimization

Jun Zhi; Jian Yong Liu; Wei Wang; Hai Ping Wu; Jie Gao

doi:10.4028/www.scientific.net/KEM.439-440.429

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 439-440Logistics Center Location Selection Based on the...

Logistics Center Location Selection Based on the Algorithm of Hybrid Particle Swarm Optimization

Abstract:

PSO algorithm is apt to appear the phenomenon of search stagnancy. To overcome the phenomenon, it uses the crossover and mutation mechanism of genetic algorithm and thought of simulated annealing for references. It has put forward the hybrid PSO algorithm and applies it to the problem of logistics center location selection, its validity and speediness has been proved through emulation.

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Periodical:

Key Engineering Materials (Volumes 439-440)

Pages:

429-433

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.439-440.429

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Online since:

June 2010

Authors:

Jun Zhi, Jian Yong Liu, Wei Wang, Hai Ping Wu, Jie Gao

Keywords:

Location Selection, Particle Swarm Optimization Algorithm (PSO), Simulated Annealing (SA)

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References

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