Results 71 to 80 of about 3,003,352 (244)
Evolutionary algorithms and dynamic programming [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled by evolutionary algorithms that use a representation which enables them to construct solutions in a dynamic programming fashion.
Benjamin Doerr +4 more
openaire +6 more sources
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Algorithmicity of Evolutionary Algorithms
Studies in Logic, Grammar and Rhetoric, 2020 Abstract In the first part of our article we will refer the penetration of scientific terms into colloquial language, focusing on the sense in which the concept of an algorithm currently functions outside its original scope. The given examples will refer mostly to disciplines not directly related to computer science and to the ...
Sławomir Leciejewski +1 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem +9 more
wiley +1 more source
Evolutionary Algorithms for Quantum Computers [PDF]
Algorithmica, 2013 Algorithmica, 68 (1)
Daniel Johannsen +2 more
openaire +4 more sources
DC operating point analysis using evolutionary computing
, 2004 This paper discusses and evaluates a new approach to operating point analysis based on evolutionary computing (EC). EC can find multiple solutions to a problem by using a parallel search through a population.
Crutchley, DA, Zwolinski, M
core +1 more source
Stage‐Specific Patterns of Imaging and Non‐Motor Biomarkers in Spinocerebellar Ataxia Type 3
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Advancements in disease‐modifying therapies for spinocerebellar ataxia Type 3 (SCA3) underscore the need for robust biomarkers to monitor disease progression and evaluate treatment efficacy. Although motor phenotypes have been well characterized, less is known about non‐motor and imaging‐based features across different disease stages.
Chun Li +17 more
wiley +1 more source
IEEE AccessEffectively 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 +3 more
doaj +1 more source
An Adaptive Constrained Multi-Objective Evolutionary Algorithm Based on Co-Evolutionary [PDF]
Jisuanji gongchengThe solution of Constrained Multi-Objective Optimization(CMOP) problems aims to reasonably allocate limited search resources to satisfy constraints and optimize the objective functions.
HAN Meihui, WANG Peng, LI Ruixu, LIU Zhongyao
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source