Qr code
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
Click: times

Open time:..

The Last Update Time:..

Current position: Home >> Scientific Research >> Paper Publications

Online knapsack problem under concave functions

Hits : Praise

Indexed by:Journal Papers

Date of Publication:2019-09-27

Journal:THEORETICAL COMPUTER SCIENCE

Included Journals:SCIE、EI

Volume:786

Page Number:88-95

ISSN No.:0304-3975

Key Words:Online algorithms; Knapsack problems; Competitive ratio

Abstract:In this paper, we address an online knapsack problem under concave function f(x), i.e., an item with size x has its profit f (x). We first obtain a simple lower bound max{q, f'(0)/f(1)}, where holden ratio q approximate to 1.618, then show that this bound is not tight, and give an improved lower bound. Finally, we find the online algorithm for linear function can be employed to the concave case, and prove its competitive ratio is f'(0)/f(1/q), then we give a refined online algorithm with a competitive ratio f'(0)/f(1) + 1 when f'(0)/f(1) is very large. And we also give optimal algorithms for some specific piecewise linear functions. (C) 2018 Elsevier B.V. All rights reserved.