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

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