Title: Integral transport scheduling in emergency relief based on an immune evolutionary algorithm
Authors: Zhi-Hua Hu; Zhao-Han Sheng
Addresses: Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China ' School of Economics and Management, Tongji University, Shanghai 200092, China
Abstract: The integral transport scheduling problem in emergency relief is studied with the following features: simultaneous transport of people and resources, integral forward and reverse transport, matching between scattered vehicles and demands. The proposed solution has two stages: first, feasible paths are generated by an exact algorithm and an immune evolutionary algorithm, all based on an open path optimisation algorithm; secondly, an integer linear programming model is designed to choose a set of paths from the set of feasible paths. The approach can be extended to be a part of integral logistics systems with scattered transport services and demands.
Keywords: emergency logistics; immune algorithm; evolutionary algorithms; transport integration; integer linear programming; immune clonal selection algorithm; transport scheduling; emergency relief; emergency aid; emergency management; emergency response.
International Journal of Emergency Management, 2014 Vol.10 No.1, pp.67 - 90
Received: 06 Jun 2013
Accepted: 12 Mar 2014
Published online: 03 Mar 2015 *