Conditional gradient method for multiobjective optimization

We analyze the conditional gradient method , also known as Frank–Wolfe method , for constrained multiobjective optimization. The constraint set is assumed to be convex and compact, and the objectives functions are assumed to be continuously differentiable. The method is considered with different str...

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Veröffentlicht in:	Computational optimization and applications 2021-04, Vol.78 (3), p.741-768
Hauptverfasser:	Assunção, P. B., Ferreira, O. P., Prudente, L. F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic methods Asymptotic properties Constraints Convex and Discrete Geometry Convexity Iterative methods Management Science Mathematics Mathematics and Statistics Multiple objective analysis Operations Research Operations Research/Decision Theory Optimization Statistics
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