Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...
Abstract: One of the main goals in flux-cored arc welding processes is the optimization of bead geometry, in which multiple geometric characteristics of the welding bead are important; therefore, ...
I School of Chemical Engineering, Federal University of Uberlândia Av. João Naves de Ávila 2121, Campus Santa Mônica, P.O. Box 593, 38408-144, Uberlândia-MG, Brazil II School of Mechanical Engineering ...
ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.
ABSTRACT: Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can be represented as a sum of ...
WASHINGTON — Autonomy technology startup Applied Intuition will deliver a “virtual sensor optimization solution” to the Air Force under a new contract awarded by AFWERX, the service’s technology ...
Abstract: Extremal Optimization (EO) is a metaheuristic used to solve complex combinatorial optimization problems. However, the behavior of this algorithm has not been studied for various interesting ...
Leverage the power of data analysis, machine learning, and artificial intelligence with a specialized master’s degree in one of today’s most in-demand fields. Taught by experienced professionals, this ...
Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...
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