Inderscience Publishers

Integral transport scheduling in emergency relief based on an immune evolutionary algorithm

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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

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