Bin packing in multiple dimensions: Inapproximability results and approximation schemes
成果类型:
Article
署名作者:
Bansal, N; Correa, JR; Kenyon, C; Sviridenko, M
署名单位:
International Business Machines (IBM); IBM USA; Universidad Adolfo Ibanez; Brown University
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.1050.0168
发表日期:
2006
页码:
31-49
关键词:
algorithm
square
bounds
time
摘要:
We study the following packing problem: Given a collection of d-dimensional rectangles of specified sizes, pack them into the minimum number of unit cubes. We show that unlike the one-dimensional case, the two-dimensional packing problem cannot have an asymptotic polynomial time approximation scheme (APTAS), unless P = NP. On the positive side, we give an APTAS for the special case of packing d-dimensional cubes into the minimum number of unit cubes. Second, we give a polynomial time algorithm for packing arbitrary two-dimensional rectangles into at most OPT square bins with sides of length 1 + epsilon, where OPT denotes the minimum number of unit bins required to pack these rectangles. Interestingly, this result has no additive constant term, i.e., is not an asymptotic result. As a corollary, we obtain the first approximation scheme for the problem of placing a collection of rectangles in a minimum-area encasing rectangle.