1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.orl.2011.07.008
DC FieldValue
dc.titleQuasi-Newton methods for solving multiobjective optimization
dc.contributor.authorQu, S.
dc.contributor.authorGoh, M.
dc.contributor.authorChan, F.T.S.
dc.date.accessioned2013-10-09T03:23:16Z
dc.date.available2013-10-09T03:23:16Z
dc.date.issued2011
dc.identifier.citationQu, 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
dc.identifier.issn01676377
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43960
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.orl.2011.07.008
dc.sourceScopus
dc.subjectCritical point
dc.subjectGlobal convergence
dc.subjectMultiobjective optimization
dc.subjectPareto optimality
dc.subjectQuasi-Newton methods
dc.typeArticle
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1016/j.orl.2011.07.008
dc.description.sourcetitleOperations Research Letters
dc.description.volume39
dc.description.issue5
dc.description.page397-399
dc.description.codenORLED
dc.identifier.isiut000295712400020
Appears in Collections:Staff Publications

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

Google ScholarTM

Check

Altmetric


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