Results 31 to 40 of about 7,768 (242)

A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams

open access: yesApplied Sciences
To comprehensively address the challenges of aperture design, element spacing optimization, and sidelobe suppression in sparse radar array antennas, this paper proposes a hybrid particle swarm optimization (PSO) algorithm that integrates quantum-behavior
Youzhi Liu   +3 more
doaj   +1 more source

Hybrid ABC-BAT for Solving Short-Term Hydrothermal Scheduling Problems

open access: yesEnergies, 2019
The main objective of short-term hydrothermal scheduling is the optimal allocation of the hydro and thermal generating units, so that the total cost of thermal plants can be minimized.
Smarajit Ghosh   +3 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Providing a Bird Swarm Algorithm based on Classical Conditioning Learning Behavior and Comparing this Algorithm with sinDE, JOA, NPSO and D-PSO-C Based on Using in Nanoscience [PDF]

open access: yesJournal of Optoelectronical Nanostructures, 2020
There can be no doubt that nanotechnology will play a major role in our futuretechnology. Computer science offers more opportunities for quantum andnanotechnology systems.
Abdorreza Asrar   +2 more
doaj  

Particle Swarm Optimization and gravitational wave data analysis: Performance on a binary inspiral testbed [PDF]

open access: yes, 2010
The detection and estimation of gravitational wave (GW) signals belonging to a parameterized family of waveforms requires, in general, the numerical maximization of a data-dependent function of the signal parameters.
A. Wainstein   +5 more
core   +3 more sources

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

open access: yesAdvanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut   +16 more
wiley   +1 more source

Prediction of progression in idiopathic pulmonary fibrosis using CT scans atbaseline: A quantum particle swarm optimization - Random forest approach [PDF]

open access: yes, 2019
Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by an unpredictable progressive declinein lung function. Natural history of IPF is unknown and the prediction of disease progression at the time ofdiagnosis is notoriously ...
Brown, Matthew S.   +4 more
core  

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima [PDF]

open access: yes, 2012
Copyright @ Elsevier Inc. All rights reserved.Multimodal optimization problems pose a great challenge of locating multiple optima simultaneously in the search space to the particle swarm optimization (PSO) community.
Beasley   +15 more
core   +2 more sources

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

open access: yesAdvanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund   +6 more
wiley   +1 more source

Group Leaders Optimization Algorithm

open access: yes, 2011
We present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique which is designed into a group architecture.
Anmer Daskin   +10 more
core   +1 more source

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