Entropy-like proximal methods in convex programming
Mathematics of Operations Research
A Projected Gradient Method for Vector Optimization Problems
Computational Optimization and Applications
A steepest descent method for vector optimization
Journal of Computational and Applied Mathematics
Algorithms for the quasiconvex feasibility problem
Journal of Computational and Applied Mathematics
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A method for solving quasiconvex nondifferentiable unconstrained multiobjective optimization problems is proposed in this paper. This method extends to the multiobjective case of the classical subgradient method for real-valued minimization. Assuming the basically componentwise quasiconvexity of the objective components, full convergence (to Pareto optimal points) of all the sequences produced by the method is established.