Solving Dynamic Logistic Problem in Equipment Support Area
Hongchao Wu, Qiaomei Han, Yongle He
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.86How to use a DOI?
- dynamic logistic; multi agent system; equipment support; MRCPSP.
- 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.
- 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 BT - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press 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 -