Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.orl.2011.07.008
Title: Quasi-Newton methods for solving multiobjective optimization
Authors: Qu, S.
Goh, M. 
Chan, F.T.S.
Keywords: Critical point
Global convergence
Multiobjective optimization
Pareto optimality
Quasi-Newton methods
Issue Date: 2011
Citation: Qu, S., Goh, M., Chan, F.T.S. (2011). Quasi-Newton methods for solving multiobjective optimization. Operations Research Letters 39 (5) : 397-399. ScholarBank@NUS Repository. https://doi.org/10.1016/j.orl.2011.07.008
Abstract: This paper presents a quasi-Newton-type algorithm for nonconvex multiobjective optimization. In this algorithm, the iterations are repeated until termination conditions are met, which is when a suitable descent direction cannot be found anymore. Under suitable assumptions, global convergence is established. © 2011 Elsevier B.V. All rights reserved.
Source Title: Operations Research Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/43960
ISSN: 01676377
DOI: 10.1016/j.orl.2011.07.008
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

19
checked on Jun 18, 2018

WEB OF SCIENCETM
Citations

18
checked on Jun 5, 2018

Page view(s)

58
checked on May 19, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.