DocumentCode
2852706
Title
EPSO for solving non-oriented two-dimensional bin packing problem
Author
Omar, Mohamed K. ; Ramakrishnan, Kumaran
Author_Institution
Bus. Sch. - Malaysia, Nottingham Univ., Semenyih, Malaysia
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
106
Lastpage
110
Abstract
The non-oriented two-dimensional bin packing problem is dealing with a set of rectangular pieces that need to be packed into identical rectangular bins. Moreover and in order to minimize the number of bins, the pieces are allowed to rotate by 90° without overlapping. There are many real life applications for this operations research problem. Among these applications: loading of boxes to pallets, trucks and containers, packing of box bases on shelves and other applications in the wood and metal industry. In this paper, we propose evolutionary particle swarm optimization algorithm (EPSO) for solving the non-oriented two-dimensional bin packing problem. Extensive numerical investigations are performed to determine the solution quality of the proposed algorithm. Moreover, the performance of our proposed algorithm is compared with a best known greedy algorithm published in the literature.
Keywords
bin packing; evolutionary computation; greedy algorithms; palletising; particle swarm optimisation; EPSO; evolutionary particle swarm optimization algorithm; greedy algorithm; identical rectangular bins; metal industry; nonoriented two-dimensional bin packing problem; numerical investigations; operations research problem; wood industry; Algorithm design and analysis; Approximation algorithms; Birds; Europe; Genetic algorithms; Particle swarm optimization; Strips; Bin packing; evolutionary particle swarm optimization algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6117888
Filename
6117888
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