This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

In this paper, we investigate a robust nonsmooth multiobjective optimization problem related
to a multiobjective optimization with data uncertainty. We firstly introduce two kinds of …

In this paper we examine multi-objective linear programming problems in the face of data
uncertainty both in the objective function and the constraints. First, we derive a formula for …

This paper deals with a robust multiobjective optimization problem involving
nonsmooth/nonconvex real-valued functions. We establish necessary/sufficient optimality …

This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

In this paper, we employ advanced techniques of variational analysis and generalized
differentiation to examine robust optimality conditions and robust duality for an uncertain …

In this paper, we deal with robust approximate quasi optimal solutions for a class of
nonlinear semi-infinite programming with data uncertainty (USIP) in both the objective and …

In this paper, we consider a semi-infinite multiobjective optimization problem with more than
two differentiable objective functions and uncertain constraint functions, which is called a …

In many real-world optimization problems, a solution cannot be realized in practice exactly
as computed, eg, it may be impossible to produce a board of exactly 3.546 mm width …

Many real-life problems in engineering, business, and management are characterized by
multiple, conflicting objectives, as well as the presence of uncertainty. The conflicting criteria …