A Projected Gradient Method for Vector Optimization Problems
Computational Optimization and Applications
Proximal Methods in Vector Optimization
SIAM Journal on Optimization
Multicriteria Optimization
On the choice of parameters for the weighting method in vector optimization
Mathematical Programming: Series A and B
A steepest descent method for vector optimization
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
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The paper is devoted to developing the Tikhonov-type regularization algorithm of finding efficient solutions to the vector optimization problem for a mapping between finite dimensional Hilbert spaces with respect to the partial order induced by a pointed closed convex cone. We prove that under some suitable conditions either the sequence generated by our method converges to an efficient solution or all of its cluster points belong to the set of all efficient solutions of this problem.