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
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing LLC 2013
Online Access:http://psasir.upm.edu.my/id/eprint/57206/
http://psasir.upm.edu.my/id/eprint/57206/1/An%20improved%20GRMOD%20heuristic%20for%20container%20loading%20problem.pdf
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author Ho, Ziao Fung
Lee, Lai Soon
Abdul Majid, Zanariah
Seow, Hsin Vonn
author_facet Ho, Ziao Fung
Lee, Lai Soon
Abdul Majid, Zanariah
Seow, Hsin Vonn
author_sort Ho, Ziao Fung
building UPM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T10:51:47Z
format Conference or Workshop Item
id upm-57206
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:51:47Z
publishDate 2013
publisher AIP Publishing LLC
recordtype eprints
repository_type Digital Repository
spelling upm-572062017-09-26T03:43:16Z http://psasir.upm.edu.my/id/eprint/57206/ An improved GRMOD heuristic for container loading problem Ho, Ziao Fung Lee, Lai Soon Abdul Majid, Zanariah Seow, Hsin Vonn 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. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57206/1/An%20improved%20GRMOD%20heuristic%20for%20container%20loading%20problem.pdf Ho, Ziao Fung and Lee, Lai Soon and Abdul Majid, Zanariah and Seow, Hsin Vonn (2013) An improved GRMOD heuristic for container loading problem. In: International Conference on Mathematical Sciences and Statistics 2013 (ICMSS2013), 5-7 Feb. 2013, Kuala Lumpur, Malaysia. (pp. 439-443). 10.1063/1.4823952
spellingShingle Ho, Ziao Fung
Lee, Lai Soon
Abdul Majid, Zanariah
Seow, Hsin Vonn
An improved GRMOD heuristic for container loading problem
title An improved GRMOD heuristic for container loading problem
title_full An improved GRMOD heuristic for container loading problem
title_fullStr An improved GRMOD heuristic for container loading problem
title_full_unstemmed An improved GRMOD heuristic for container loading problem
title_short An improved GRMOD heuristic for container loading problem
title_sort improved grmod heuristic for container loading problem
url http://psasir.upm.edu.my/id/eprint/57206/
http://psasir.upm.edu.my/id/eprint/57206/
http://psasir.upm.edu.my/id/eprint/57206/1/An%20improved%20GRMOD%20heuristic%20for%20container%20loading%20problem.pdf