A genetic algorithm approach to a 3D container loading problem

A genetic algorithm approach to a 3D container loading problem

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Article ID: iaor20119893
Volume: 10
Issue: 2
Start Page Number: 192
End Page Number: 207
Publication Date: Sep 2011
Journal: International Journal of Logistics Systems and Management
Authors: , , ,
Keywords: heuristics: genetic algorithms, networks: flow, combinatorial optimization
Abstract:

Standardisation of transport means, such as containers, has a direct impact on the transportation efficiency sought by European transport policies. In this paper, we present a Genetic Algorithm (GA) application to the container‐loading problem trying to maximise the cargo volume accommodated in the container whilst ensuring that loading restrictions are met, and thus achieving a reduction in the number of freight to hire and thereby a reduction in costs. We have also developed spatial representation software as aids to assist the container‐loading process.

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