An improved GRMOD heuristic for container loading problem

The Container Loading Problem (CLP) is a study of loading a subset of goods or parcels of different sizes into a three-dimensional rectangular container of fixed dimensions such that the volume of packed boxes is maximized. In this paper, an improved version of the modified George and Robinson heuri...

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Main Authors: Ho, Ziao Fung, Lee, Lai Soon, Abdul Majid, Zanariah, Seow, Hsin Vonn
格式: Conference or Workshop Item
語言:English
出版: AIP Publishing LLC 2013
在線閱讀:http://psasir.upm.edu.my/id/eprint/57206/1/An%20improved%20GRMOD%20heuristic%20for%20container%20loading%20problem.pdf
http://psasir.upm.edu.my/id/eprint/57206/
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總結:The Container Loading Problem (CLP) is a study of loading a subset of goods or parcels of different sizes into a three-dimensional rectangular container of fixed dimensions such that the volume of packed boxes is maximized. In this paper, an improved version of the modified George and Robinson heuristic (iGRMOD) is developed to solve the CLP. Comparison computational results on benchmark data set from the literature will be presented. The performances of the iGRMOD are superior than the GRMOD and other heuristics reported in the literature.