ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

Abstract: The present work proposes a methodology to the problem of short-term economic dispatch of radial and meshed power systems by means of nonlinear programming (NLP). The problem posed will be ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...

London, June 5, 2024 – Quantum infrastructure software company Q-CTRL today announced published results that the company says demonstrate a boost of more than 4X in the size of an optimization problem ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Abstract: This article presents the development of a technological tool that results in student learning about solving differential calculus optimization problems. This work is framed in a research ...