2026-05-04 ExpoCM: Exposure-Aware One-Step Generative Single-Image HDR Reconstruction Aoyu Liu et.al. 2605.02464 null 2026-05-01 Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in ...

This research proposes a novel hybrid metaheuristic optimization framework that combines the Aquila Optimization algorithm with the Sine-Cosine Optimizer to find equilibrium points of reacting ...

Inverse kinematics of redundant robots presents a challenging problem for real-time applications due to the lack of uniqueness of solution and the low computational efficiency caused by redundancy and ...

Crunching hard grains together leads to their rigidification, irrespective of how the system is prepared. While certain features of the resulting jammed materials—e.g. their contact force distribution ...

The aim of this article is to describe optimization problems and their application in managerial and financial decision-making within organizations. This description is approached from two ...

Linear Programming has been used to solve optimization problems in banking, forestry, petroleum, and medical industries. Optimization can be completed with linear and non linear models. There are ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2021.

Linear programming (LP) is often used within diet optimization to find, from a set of available food commodities, the most affordable diet that meets the nutritional requirements of an individual or ...

Center on Stochastic Modeling, Optimization, and Statistics (COSMOS), The University of Texas at Arlington, Arlington, TX, USA. Quantitative decision analysis involves notions of comparison and ...

In this work, a new method is presented for determining the binding constraints of a general linear maximization problem. The new method uses only objective function values at points which are ...