[PDF][PDF] Treant, a, S
The concepts of convex and non-convex functions play a key role in the study of
optimization. So, with the help of these ideas, some inequalities can also be established …
optimization. So, with the help of these ideas, some inequalities can also be established …
Hermite–Hadamard-type inequalities for interval-valued preinvex functions via Riemann–Liouville fractional integrals
In this paper, we introduce (h 1, h 2) (h_1,h_2)-preinvex interval-valued function and
establish the Hermite–Hadamard inequality for preinvex interval-valued functions by using …
establish the Hermite–Hadamard inequality for preinvex interval-valued functions by using …
Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization
In this paper, a generalized interval vector space is investigated and defined as an ordered
relation in the form of a bijective linear transformation of its onto a real vector space. The …
relation in the form of a bijective linear transformation of its onto a real vector space. The …
Duality results for interval-valued pseudoconvex optimization problem with equilibrium constraints with applications
T Van Su, DH Dinh - Computational and Applied Mathematics, 2020 - Springer
This paper is devoted to constructing Wolfe and Mond–Weir dual models for interval-valued
pseudoconvex optimization problem with equilibrium constraints, as well as providing weak …
pseudoconvex optimization problem with equilibrium constraints, as well as providing weak …
Generalized-Hukuhara penalty method for optimization problem with interval-valued functions and its application in interval-valued portfolio optimization problems
AK Debnath, D Ghosh - Operations Research Letters, 2022 - Elsevier
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 …
optimization problems with interval-valued functions. The algorithmic implementation of the …
Gradient-based descent linesearch to solve interval-valued optimization problems under gH-differentiability with application to finance
P Roy, G Panda, D Qiu - Journal of Computational and Applied …, 2024 - Elsevier
In this article, gradient based descent line search scheme is proposed to solve interval
optimization problems under generalized Hukuhara differentiability. The innovation and …
optimization problems under generalized Hukuhara differentiability. The innovation and …
An efficient solution of nonlinear enhanced interval optimization problems and its application to portfolio optimization
P Kumar, AK Bhurjee - Soft Computing, 2021 - Springer
A general optimization problem whose parameters and decision variables are intervals, is
known as an enhanced interval optimization problem. This article has focused on nonlinear …
known as an enhanced interval optimization problem. This article has focused on nonlinear …
Some new versions of integral inequalities for left and right preinvex functions in the interval-valued settings
The principles of convexity and symmetry are inextricably linked. Because of the
considerable association that has emerged between the two in recent years, we may apply …
considerable association that has emerged between the two in recent years, we may apply …
Optimality conditions and duality for interval-valued optimization problems using convexifactors
A Jayswal, I Stancu-Minasian, J Banerjee - Rendiconti del Circolo …, 2016 - Springer
This paper is devoted to the applications of convexifactors on interval-valued programming
problem. Based on the concept of LU optimal solution, sufficient optimality conditions are …
problem. Based on the concept of LU optimal solution, sufficient optimality conditions are …
On interval-valued bilevel optimization problems using upper convexificators
In this paper, we investigate a bilevel interval valued optimization problem. Reducing the
problem into a one-level nonlinear and nonsmooth program, necessary optimality conditions …
problem into a one-level nonlinear and nonsmooth program, necessary optimality conditions …