Qr code
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
Contact Information:
Click:Times

Open Time: ..

The Last Update Time: ..

Current position: Home >> Scientific Research >> Paper Publications
Online removable knapsack problem under convex function

Hits:

Indexed by:Journal Article

Date of Publication:2014-06-26

Journal:THEORETICAL COMPUTER SCIENCE

Included Journals:Scopus、EI、SCIE

Volume:540

Issue:,SI

Page Number:62-69

ISSN:0304-3975

Key Words:Knapsack problems; Online algorithms; Competitive ratio

Abstract:In this paper, we address an online knapsack problem under a convex size profit function. We first give a greedy online algorithm with a competitive ratio 2. Then we propose an improved online algorithm with a competitive ratio 5/3. We also prove that when the convex function has a specific property, our improved online algorithm is (1 + root 5)/2-competitive, which is optimal. Finally, we prove that the lower bound of this problem is (1 + root 5)/2. (C) 2013 Elsevier B.V. All rights reserved.