Proceedings of the 2015 International Symposium on Computers & Informatics

Improved PSO for TNDBDCP

Authors
Kai Shao, Kang Zhou, Yingying Duan, Wenbo Dong
Corresponding Author
Kai Shao
Available Online January 2015.
DOI
10.2991/isci-15.2015.155How to use a DOI?
Keywords
PSO; TNDBDCP; Spanning tree
Abstract

Traffic network distribution based on distribution center problem (TNDBDCP) is put forward, which can not be solved by traditional algorithms. In order to solve TNDBDCP, Particle Swarm Optimization (PSO) is put forward based on the idea of global and feasible searching. In the PSO, introducing check function ensures the feasibility of particle swarm, which is designed based on the neighborhood search method which only uses one loop program to meet the requirement of time constraint and radialized network structure; more reasonable fitness function is designed based on the relationship between spanning tree and its cotree; improvements for updating the position of particle make the current position of particle be beneficial to being close to the best position of particle in its neighborhood.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.155
ISSN
2352-538X
DOI
10.2991/isci-15.2015.155How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kai Shao
AU  - Kang Zhou
AU  - Yingying Duan
AU  - Wenbo Dong
PY  - 2015/01
DA  - 2015/01
TI  - Improved PSO for TNDBDCP
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1176
EP  - 1181
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.155
DO  - 10.2991/isci-15.2015.155
ID  - Shao2015/01
ER  -