S Yu - Nature Computational Science, 2023 - nature.com
Network science provides a powerful tool for unraveling the complexities of social, technological and biological systems. Constructing networks using wave phenomena is also …
We benchmark seven global optimization algorithms by comparing their performance on challenging multidimensional test functions as well as a method of simulated moments …
Human dexterity far exceeds that of modern robots, despite a much slower neuromuscular system. Understanding how this is accomplished may lead to improved robot control. The …
AY Morozov, OA Kuzenkov, SK Sandhu - Communications in Nonlinear …, 2021 - Elsevier
Global optimisation problems in high-dimensional and infinite-dimensional spaces arise in various real-world applications such as engineering, economics and finance, geophysics …
Photonics has been widely explored in computing and communications, mainly to rationalize the relationship between device size minimization and data processing …
The quantum approximate optimization algorithm (QAOA) is a quantum heuristic for combinatorial optimization that has been demonstrated to scale better than state-of-the-art …
GEMSFITS is a new code package for fitting internally consistent input parameters of GEM (Gibbs Energy Minimization) geochemical–thermodynamic models against various types of …
Objective of this paper is to test and compare different solution algorithms for solving nonlinear freeway traffic control problems. The motivation of this work is related to the fact …
VV Zheltkova, DA Zheltkov, Z Grossman… - Journal of Inverse and …, 2018 - degruyter.com
The development of efficient computational tools for data assimilation and analysis using multi-parameter models is one of the major issues in systems immunology. The …