In recent years, there has been a growing interest in optimization problems with uncertainty.
Fuzzy optimization is one of the approaches for investigation of such real-world extremum …

In this paper, a new class of generalized convex optimization problems with a multiple
interval-valued objective function is considered. The concepts of B-preinvexity, B-invexity …

There is the growing use in practice of optimization models with uncertain data related to
human activity in which hypotheses are not verified in a way specific for classical …

The weak, the strong and the converse duality theorems of a pair of nonlinear programming
problems are established under ρ-(η, θ)-invexity, generalized ρ-(η, θ)-invexity, strongly ρ …

In this paper, a new class of generalized convex optimization problems with a multiple
interval-valued objective function is considered. The concepts of 𝐵-preinvexity, 𝐵-invexity …