APTAS for bin packing with general cost structures

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
G. Jaykrishnan, Asaf Levin
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引用次数: 0

Abstract

We consider the following generalization of the bin packing problem. We are given a set of items each of which is associated with a rational size in the interval [0,1], and a monotone non-decreasing non-negative cost function f defined over the cardinalities of the subsets of items. A feasible solution is a partition of the set of items into bins subject to the constraint that the total size of items in every bin is at most 1. Unlike bin packing, the goal function is to minimize the total cost of the bins where the cost of a bin is the value of f applied on the cardinality of the subset of items packed into the bin. We present an APTAS for this strongly NP-hard problem. We also provide a complete complexity classification of the problem with respect to the choice of f.
具有一般成本结构的垃圾箱包装的APTAS
我们考虑装箱问题的以下推广。我们给定一组项目,其中每个项目在区间[0,1]中与一个有理大小相关联,以及在项目子集的基数上定义的单调非递减非负成本函数f。可行解是在每个箱子中物品的总大小不超过1的约束下,将物品集划分为若干个箱子。与装箱不同,目标函数是最小化箱子的总成本,其中一个箱子的成本是f的值应用于装入箱子的物品子集的基数。我们提出了一个强np困难问题的APTAS。我们还提供了一个关于f的选择的问题的完整的复杂性分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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