Solving Dynamic Logistic Problem in Equipment Support Area

DOI

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.

Copyright

© 2018, 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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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
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 530
EP  - 536
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.86
DO  - 10.2991/tlicsc-18.2018.86
ID  - Wu2018/12
ER  -