DocumentCode :
3369284
Title :
A best-fit heuristic algorithm for two-dimensional bin packing problem
Author :
Dayong Cao ; Kotov, V.M.
Author_Institution :
Dept. of Appl. Math., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
7
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
3789
Lastpage :
3791
Abstract :
Two-dimensional bin packing problem (2D-BPP) is to minimize the number of the used large rectangles (bins) for packing a set of small rectangles (items). In this paper, a best-fit algorithm (BF) based on the strategy of concave corner and best fitness value for this problem is proposed. Experimental results show that this heuristic algorithm could obtain better and reliable results for almost all test instances in less time than some classical algorithms.
Keywords :
bin packing; best fitness value strategy; best-fit heuristic algorithm; concave corner strategy; two-dimensional bin packing problem; Approximation algorithms; Educational institutions; Field-flow fractionation; Heuristic algorithms; Reliability; System-on-a-chip; Best-Fit; Heuristic algorithm; two-dimensional bin packing problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6023883
Filename :
6023883
Link To Document :
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