[HTML][HTML] New classes of interval-valued variational problems and inequalities
The paper discusses two distinct classes of variational problems. The first class focuses on
optimization problems governed by interval-valued functionals, which are influenced by …
optimization problems governed by interval-valued functionals, which are influenced by …
Locally linear method for fixed effects panel interval-valued data model
J Zhang, A Ji - Knowledge-Based Systems, 2024 - Elsevier
The literature on fixed effects panel interval-valued data models has been established.
However, less attention has been given to models that simultaneously, consider the interval …
However, less attention has been given to models that simultaneously, consider the interval …
An adaptive interval many-objective evolutionary algorithm with information entropy dominance
Z Cui, C Qu, Z Zhang, Y Jin, J Cai, W Zhang… - Swarm and Evolutionary …, 2024 - Elsevier
Interval many-objective optimization problems (IMaOPs) involve more than three conflicting
objectives with interval parameters. Various real-world applications under uncertainty can …
objectives with interval parameters. Various real-world applications under uncertainty can …
Metrically Levitin–Polyak well-posed parametric set optimization problem
B Tahu, M Dhingra, PK Garg - OPSEARCH, 2024 - Springer
In this article, concepts of metrically pointwise and metrically global Levitin–Polyak (LP) well-
posed parametric set optimization problems are introduced. Characterizations of metrically …
posed parametric set optimization problems are introduced. Characterizations of metrically …
On multiobjective interval-valued problems involving symmetric LU-pseudoconvexity
N Pokharna, IP Tripathi - OPSEARCH, 2024 - Springer
In this paper, a class of multiobjective interval optimization problems involving symmetrically
gH-differentiable functions is considered. A new kind of generalized convexity, symmetric LU …
gH-differentiable functions is considered. A new kind of generalized convexity, symmetric LU …