Results 71 to 80 of about 5,958,127 (312)
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization
Scientific Reports, 2023 In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay.
M. Azizi +3 more
semanticscholar +1 more source
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith +8 more
wiley +1 more source
Computation, 2021 In this study, a new methodology is proposed to perform optimal selection of conductors in three-phase distribution networks through a discrete version of the metaheuristic method of vortex search.
John Fernando Martínez-Gil +3 more
doaj +1 more source
International Conference on Operations Research and Enterprise Systems, 2021 Course aims What this course is This is a PhD course on robust optimization. The decision-making problem requires the parameters of underlying models. While applying data to estimate parameters, the uncertainty is unavoidable.
Jean-Philippe Vial
semanticscholar +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Engenharia Agrícola, 2011 Modelos matemáticos computacionais de otimização de redes de irrigação, sob vazão em marcha, capazes de fornecer dados hidráulicos, são importantes para a verificação do comportamento do sistema quanto à distribuição da carga hidráulica (energia) e da ...
Francisco F. N. Marcuzzo, Edson Wendland
doaj +1 more source
Mathematics, 2022 Legalization of the proceeds of crime represents a worldwide problem with serious economic and social consequences. Information technologies in conjunction with advanced computer techniques are important tools in the fight against money laundering (ML ...
Alena Vagaská +2 more
doaj +1 more source
Physics in Medicine and Biology, 2018 High dose-rate brachytherapy is a method for cancer treatment where the radiation source is placed within the body, inside or close to a tumour. For dose planning, mathematical optimization techniques are being used in practice and the most common ...
B. Morén +4 more
semanticscholar +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Computers, 2022 The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA).
David Gilberto Gracia-Velásquez +2 more
doaj +1 more source