Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Solving Dynamic Logistic Problem in Equipment Support Area

Authors
Hongchao Wu, Qiaomei Han, Yongle He
Corresponding Author
Hongchao Wu
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.86How to use a DOI?
Keywords
dynamic logistic; multi agent system; equipment support; MRCPSP.
Abstract
We proposed a novel method for dynamic logistic problem in the process of equipment support. Firstly, a multi agent system framework is built, including task agent, resource agent, negotiation agent and monitoring agent. In the static and dynamic logistic problems, we used a hybrid genetic tabu search (HGTS) algorithm, which decomposes the abstracted MRCPSP problem into MAP and RCPSP problems and dealt with them separately. The logistic problem cannot be solved until the modes of each task are assigned. The simulation experiments have proved that the proposed HGTS algorithm has better average deviation and optimal solution ratio than those of the traditional genetic algorithm and particle swarm optimization algorithm, which reflects the stability and calculation quality of the algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.86How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongchao Wu
AU  - Qiaomei Han
AU  - Yongle He
PY  - 2018/12
DA  - 2018/12
TI  - Solving Dynamic Logistic Problem in Equipment Support Area
PB  - Atlantis Press
SP  - 530
EP  - 536
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.86
DO  - https://doi.org/10.2991/tlicsc-18.2018.86
ID  - Wu2018/12
ER  -