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.
Original language | English |
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Pages (from-to) | 397-399 |
Number of pages | 3 |
Journal | Operations Research Letters |
Volume | 39 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 Sept 2011 |
Keywords
- Critical point
- Global convergence
- Multiobjective optimization
- Pareto optimality
- Quasi-Newton methods
ASJC Scopus subject areas
- Software
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics