Results 91 to 100 of about 5,817,365 (365)

SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher, Dominika Stastna, Ingrid Menkyova, Vaclav Capek, Jiri Lindner, Petra Nytrova, Jan Krasensky, Eliza Varju, Miguel D'haeseleer, Eva Kubala Havrdova, Dana Horakova, Manuela Vaneckova, Niels Bergsland   +12 more
wiley   +1 more source

A convergence acceleration operator for multiobjective optimisation [PDF]

, 2007
A novel multiobjective optimisation accelerator is introduced that uses direct manipulation in objective space together with neural network mappings from objective space to decision space.
Adra, S.F., Fleming, P.J., Griffin, I.A.
core   +1 more source

Evolutionary Algorithms in Intelligent Systems [PDF]

Mathematics, 2020
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally difficult optimization problems [...]
openaire   +3 more sources

Prospects for computational steering of evolutionary computation [PDF]

, 2002
Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory,
Bullock, Seth, Cartlidge, J., Thompson, M.   +2 more
core   +2 more sources

A new evolutionary algorithm: Learner performance based behavior algorithm

Egyptian Informatics Journal, 2021
A novel evolutionary algorithm called learner performance based behavior algorithm (LPB) is proposed in this article. The basic inspiration of LPB originates from the process of accepting graduated learners from high school in different departments at ...
Chnoor M. Rahman, Tarik A. Rashid
doaj  

A novel pigeon-inspired optimization with QUasi-Affine TRansformation evolutionary algorithm for DV-Hop in wireless sensor networks

International Journal of Distributed Sensor Networks, 2020
In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun, Jeng-Shyang Pan, Shu-Chuan Chu, Pei Hu, Ai-Qing Tian   +4 more
doaj   +1 more source

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization

IEEE Transactions on Evolutionary Computation, 2017
While Pareto-based multiobjective optimization algorithms continue to show effectiveness for a wide range of practical problems that involve mostly two or three objectives, their limited application for many-objective problems, due to the increasing ...
Shouyong Jiang, Shengxiang Yang
semanticscholar   +1 more source

Analyses of evolutionary algorithms

, 2009
Evolutionäre Algorithmen (EAs) werden in der Praxis sehr erfolgreich eingesetzt. Bisher werden die theoretischen Grundlagen von EAs jedoch nicht zufriedenstellend verstanden. Laufzeitanalysen für einfache EAs sollen dieses Verständnis erweitern.
openaire   +3 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

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, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

The Method to Integrate Species Explode and Deracinate Algorithm With Particle Swarm Optimization Algorithm

IEEE Access
Effectively combining various evolutionary computing algorithms and leveraging the advantages of each can significantly enhance the convergence speed and solution quality of the algorithm.
Yongjian Yang, Youwei Deng, Bingsong Xiao, Xiaohong Zhao   +3 more
doaj   +1 more source