Results 71 to 80 of about 165,885 (265)
Search Techniques for Evolutionary Constrained Optimization
, 2016 Solving Constrained Optimization Problems (COPs) has been an important research topic in the optimization, operation research, and computer science domains. Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve such problems.
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Optimization Techniques and Evolutionary Algorithms
, 2021 The field of artificial intelligence (AI) continues to evolve at an extraordinary pace, and at the heart of many AI breakthroughs lies the discipline of opti- mization. This book, Optimization Techniques and Evolutionary Algorithms, was written to address the growing need for a clear and practical introduction to optimization, especially as it applies ...
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
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A Review of Gait Optimization Based on Evolutionary Computation
Applied Computational Intelligence and Soft Computing, 2010 Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions.
Daoxiong Gong, Jie Yan, Guoyu Zuo
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ADP‐ribosylation: An emerging regulator of the epigenome
Molecular Oncology, EarlyView.ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
FEBS 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
FEBS Open Bio, EarlyView.The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer +7 more
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Improving the Giant-Armadillo Optimization Method
AnalyticsGlobal optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques.
Glykeria Kyrou +2 more
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FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
A Comparison of Evolutionary Computation Techniques for IIR Model Identification
Journal of Applied Mathematics, 2014 System identification is a complex optimization problem which has recently attracted the attention in the field of science and engineering. In particular, the use of infinite impulse response (IIR) models for identification is preferred over their ...
Erik Cuevas +5 more
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