Worst-case analyses, linear programming and the bin-packing problem

被引:16
作者
Chan, LMA
Simchi-Levi, D
Bramel, J
机构
[1] Northwestern Univ, Dept Ind Engn & Management Sci, Evanston, IL 60208 USA
[2] Hong Kong Polytech Univ, Dept Management, Hong Kong, Peoples R China
[3] Columbia Univ, Grad Sch Business, New York, NY 10027 USA
关键词
absolute performance ratio; bin-packing; linear programming; best-fit decreasing; first-fit decreasing;
D O I
10.1007/BF02680559
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper we consider the familiar bin-packing problem and its associated set-partitioning formulation. We show that the optimal solution to the bin-packing problem can be no larger than 4/3[Z(LP)], where Z(LP) is the optimal solution value of the linear programming relaxation ration of the set-partitioning formulation. An example is provided to show that the bound is tight. A by-product of our analysis is a new worst-case bound on the performance of the well studied First Fit Decreasing and Best Fit Decreasing heuristics, (C) 1998 The Mathematical Programming Society, Inc. Published by Elsevier Science B.V.
引用
收藏
页码:213 / 227
页数:15
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