My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

Using nationally representative household consumption surveys from 23 countries that together account for 50% of the world’s poor, we estimate that reducing the poverty rate to 1% (from a baseline of ...

New research proposes a unified solution built around agentic artificial intelligence, a form of AI designed for continuous ...

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 ...

Fire departments say prices for new engines have soared and orders are backlogged for years. Two senators are investigating whether investors who have disrupted the industry are the reason. By Mike ...

This article presents a novel particle swarm optimization (PSO)-based energy management system (EMS) designed for microgrids (MGs) to enhance operational efficiency, reduce dependency on the utility ...

Abstract: This paper addresses a class of optimization problems with time-varying cost functions by proposing a fully distributed prescribed-time algorithm. The algorithm decomposes the overall ...

In an April 2024 interview with MIT, Matthias Winkenbach, a principal research scientist and director of research at the MIT Center for Transportation and Logistics, said artificial intelligence (AI) ...