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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Xin Han

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Main positions:Professor
Gender:Male
Alma Mater:Kyoto University
Degree:Doctoral Degree
School/Department:Software School
Discipline:Computer Software and Theory. Operation Research and Control Theory
Contact Information:hanxin@dlut.edu.cn 0086-411-62274404
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Current position: Home >> Scientific Research >> Paper Publications

Online Unweighted Knapsack Problem with Removal Cost

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Indexed by:期刊论文

Date of Publication:2014-09-01

Journal:ALGORITHMICA

Included Journals:SCIE、EI、Scopus

Volume:70

Issue:1,SI

Page Number:76-91

ISSN No.:0178-4617

Key Words:Knapsack problem; Online algorithms; Competitive ratio

Abstract:In this paper, we study the online unweighted knapsack problem with removal cost. The input is a sequence of items u (1),u (2),aEuro broken vertical bar,u (n) , each of which has a size and a value, where the value of each item is assumed to be equal to the size. Given the ith item u (i) , we either put u (i) into the knapsack or reject it with no cost. When u (i) is put into the knapsack, some items in the knapsack are removed with removal cost if the sum of the size of u (i) and the total size in the current knapsack exceeds the capacity of the knapsack. Here the removal cost means a cancellation charge or disposal fee. Our goal is to maximize the profit, i.e., the sum of the values of items in the last knapsack minus the total removal cost occurred.
   In this paper, we consider two kinds of removal cost: unit and proportional cost. For both models, we provide their competitive ratios. Namely, we construct optimal online algorithms and prove that they are best possible.