A genetic algorithm approach to a 3D container-loading problem. Issue 2 (1st January 2011)

• Record Type: Journal Article
• Authors: Pino, Raúl; Fernández, Isabel; de la Fuente, David; García, Nazario
• Is Part Of: International journal of logistics systems and management. Volume 10:Issue 2(2011)
• Page Start: 192
• Page End: 207
• Publication Date: 2011-01-01
• Subjects: container loading -- optimisation -- genetic algorithms -- 3D visualisation; Business logistics -- Periodicals; 658.5005
• Languages: English
• ISSNs: 1742-7967

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.