Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Solve VRPPD with Improved Bacteria Optimization Algorithm

Authors
Bo Li, Chen Guo, Tao Ning, Yingqi Wei
Corresponding Author
Bo Li
Available Online May 2017.
DOI
10.2991/msmee-17.2017.314How to use a DOI?
Keywords
vehicle routing problem with pickup and delivery, improved bacteria foraging optimization algorithm, non dominate sorting
Abstract

In this paper, an improved bacteria foraging optimization algorithm based on different constraint conditions is proposed to solve the vehicle routing problem with pickup and delivery (VRPPD). At first, the mathematical model is established aiming at minimizing the dispatching time and the total cost. Secondly, the paper proposes the method with dynamic variable step factor, as well as propagation threshold and death threshold to copy the excellent individuals and eliminate the inferior individuals. Finally, the improved method is applied to the CMTnX and CMTnY, and its effectiveness is verified from the result of comparison with some existing algorithms.

Copyright
© 2017, 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 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.314
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.314How to use a DOI?
Copyright
© 2017, 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  - Bo Li
AU  - Chen Guo
AU  - Tao Ning
AU  - Yingqi Wei
PY  - 2017/05
DA  - 2017/05
TI  - Solve VRPPD with Improved Bacteria Optimization Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1732
EP  - 1736
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.314
DO  - 10.2991/msmee-17.2017.314
ID  - Li2017/05
ER  -