Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems ...
Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...
This paper presents the optimization performance of non-uniform linear antenna array with optimized inter-element spacing and excitation amplitude using Particle Swarm Optimization (PSO). The aim of ...
Abstract: In this paper, a novel nature inspired meta heuristic optimization approach of Grey Wolf Optimization (GWO) algorithm is employed to solved the optimal reactive power dispatch (ORPD) ...
As part of the CWI research semester on learning enhanced optimization, we are excited to host an international PhD school during the first week of September. The PhD school explores recent ...
Controlling broadband noise across the entire frequency spectrum, from low to high frequencies, remains a critical challenge in aerospace, transportation, and construction industries. Current acoustic ...
Information crucial for life is represented by surprisingly low concentrations of key molecules, yet cells use these small signals to make reliable decisions. Could the mechanisms of life have been ...
Large commercial complexes are large in scale, complex in function, and located in densely populated areas that are prone to casualties due to unfavorable evacuation. To comprehend the safety ...
In recent years, with the continuous enhancement of people’s fitness awareness, more and more people are doing anaerobic exercise training. Although anaerobic exercise training can improve physical ...
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