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中文
Xin Han

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Academic Titles:Professor
Gender:Male
Alma Mater:Kyoto University
Degree:Doctoral Degree
School/Department:Software School
Discipline:Computer Software and Theory
Operation Research and Control Theory
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Current position: Home >> Scientific Research >> Paper Publications
Online Unweighted Knapsack Problem with Removal Cost

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Indexed by:Journal Article

Date of Publication:2014-09-01

Journal:ALGORITHMICA

Included Journals:Scopus、EI、SCIE

Volume:70

Issue:1,SI

Page Number:76-91

ISSN: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.