In this article, we study calculus for gH-subdifferential of convex interval-valued functions
(IVFs) and apply it in a nonconvex composite model of an interval optimization problem …

In this study, a gH-penalty method is developed to obtain efficient solutions to constrained
optimization problems with interval-valued functions. The algorithmic implementation of the …

In this article, we attempt to propose the concept of interval-valued value function. To
propose the concept, we study the notion of a Lagrangian interval-valued function (IVF) …

In this article, we attempt to characterize optimum solutions for optimization problems with
interval-valued functions of interval variables. As the constraint set or the underlying variable …

Based on a given set of uncertain scenarios, robust optimization aims to determine the best
possible choices. The best solution in robust optimization is usually found by identifying the …

Purpose A stochastic technique for solving interval non-linear problems using generalized
Hukuhara (GH)-difference is proposed. The non-linear programming problem in interval …

This paper is concerned with optimality conditions for a class of nonsmooth fuzzy
optimization problems based on gH-weak subdifferentiability. To this end, we first define the …

In this article, we study the notion of gH-Hadamard derivative for interval-valued functions
(IVFs) and apply it to solve interval optimization problems (IOPs). It is shown that the …

In this paper, we develop and analyze the concepts of gH-Dini Hadamard ε-subdifferential
and Hε-subgradient for interval-valued functions (IVFs). Some important characteristics of gH …

In this article, we study $ gH $-subdifferential calculus of convex interval-valued functions
(IVFs) and apply it in a nonconvex composite model of interval optimization problems (IOPs) …