http://hdl.handle.net/1765/11691
http://dx.doi.org/10.1007/BF02309555
scopus: cited 12 times
web of science: cited 13 times
http://dx.doi.org/10.1007/BF02309555
scopus: cited 12 times
web of science: cited 13 times
Hybrid next-fit algorithm for the two-dimensional rectangle bin-packing problem
September 1987
Article
volume 39, issue 3 pp 201-217.
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We present a new approximation algorithm for the two-dimensional bin-packing problem. The algorithm is based on two one-dimensional bin-packing algorithms. Since the algorithm is of next-fit type it can also be used for those cases where the output is required to be on-line (e. g. if we open an new bin we have no possibility to pack elements into the earlier opened bins). We give a tight bound for its worst-case and show that this bound is a parameter of the maximal sizes of the items to be packed. Moreover, we also present a probabilistic analysis of this algorithm.
Keywords
- worst-case analysis
- probabilistic analysis
- bin-packing
- heuristic algorithm
- on-line algorithm
- two-dimensional packing
Automatically Extracted Terms
- algorithm
- height
- h n f
- rectangle
- piece
- problem
- block
- next-fit algorithm
- list l
- bin-packing
- next-fit
- interval
- weight
- a-type bin
- b 2-type bin
- frenk
- sequence
- proof
- performance ratio
- johnson