Results 41 to 50 of about 461,827 (310)

GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting

Mathematics, 2023
Short-term traffic flow forecasting, an essential enabler for intelligent transportation systems, is a fundamental and challenging task for dramatically changing traffic flow over time.
Wenguang Chai, Liangguang Zhang, Zhizhe Lin, Jinglin Zhou, Teng Zhou   +4 more
doaj   +1 more source

Metaheuristic Parameter Identification of Motors Using Dynamic Response Relations

Sensors, 2022
This article presents the use of the equations of the dynamic response to a step input in metaheuristic algorithm for the parametric estimation of a motor model.
Omar Rodríguez-Abreo, Juvenal Rodríguez-Reséndiz, José Manuel Álvarez-Alvarado, Alfonso García-Cerezo   +3 more
doaj   +1 more source

Hybrid Harmony Search Optimization Algorithm for Continuous Functions

Mathematical and Computational Applications, 2023
This paper proposes a hybrid harmony search algorithm that incorporates a method of reinitializing harmonies memory using a particle swarm optimization algorithm with an improved opposition-based learning method (IOBL) to solve continuous optimization ...
José Alfredo Brambila-Hernández, Miguel Ángel García-Morales, Héctor Joaquín Fraire-Huacuja, Eduardo Villegas-Huerta, Armando Becerra-del-Ángel   +4 more
doaj   +1 more source

Low-cost quasi-global optimization of expensive electromagnetic simulation models by inverse surrogates and response features

Scientific Reports, 2022
Conceptual design of contemporary high-frequency structures is typically followed by a careful tuning of their parameters, predominantly the geometry ones. The process aims at improving the relevant performance figures, and may be quite expensive.
Slawomir Koziel, Anna Pietrenko-Dabrowska   +1 more
doaj   +1 more source

On Entropy Regularized Path Integral Control for Trajectory Optimization

Entropy, 2020
In this article, we present a generalized view on Path Integral Control (PIC) methods. PIC refers to a particular class of policy search methods that are closely tied to the setting of Linearly Solvable Optimal Control (LSOC), a restricted subclass of ...
Tom Lefebvre, Guillaume Crevecoeur
doaj   +1 more source

Particle algorithms for optimization on binary spaces

, 2011
We discuss a unified approach to stochastic optimization of pseudo-Boolean objective functions based on particle methods, including the cross-entropy method and simulated annealing as special cases.
Schäfer, Christian
core   +2 more sources

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

Journal of Statistical Software, 2021
Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system.
Santtu Tikka, Antti Hyttinen, Juha Karvanen   +2 more
doaj   +1 more source

The use of methods of structural optimization at the stage of designing high-rise buildings with steel construction

E3S Web of Conferences, 2018
The more designing solutions at the search stage for design for high-rise buildings can be synthesized by the engineer, the more likely that the final adopted version will be the most efficient and economical. However, in modern market conditions, taking
Vasilkin Andrey
doaj   +1 more source

An Interval-Arithmetic-Based Approach to the Parametric Identification of the Single-Diode Model of Photovoltaic Generators

Energies, 2020
Parametric identification of the single diode model of a photovoltaic generator is a key element in simulation and diagnosis. Parameters’ values are often determined by using experimental data the modules manufacturers provide in the data sheets ...
Martha Lucia Orozco-Gutierrez
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source