Results 71 to 80 of about 192,884 (311)
, 2023 Evolutionary algorithms have been gaining increased attention the past few years because of their versatility and are being successfully applied in several different fields of study. We group under this heading a family of new computing techniques rooted
Tomassini, M.
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Molecular Oncology, EarlyView.Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
Designing a Turbine Blade Cooling System Using a Generalised Regression Genetic Algorithm [PDF]
, 2003 The design of a turbine blade cooling system is a multi-objective optimisation problem involving constraints and complex interaction among its design variables.
Tiwari, Ashutosh +2 more
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Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Investigation on Evolutionary Computation Techniques of a Nonlinear System
Modelling and Simulation in Engineering, 2011 The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system.
Tran Trong Dao
doaj +1 more source
New Molecular Genetic Techniques for the Inference of Evolutionary Relationships
Acta Biologica Slovenica, 1991 Molecular genetic techniques have advanced greatly in the last few years, and provided powerful tools for phylogenetic research. The two most important methods for characterising nucleic acids are restriction-enzyme fragment analysis, and nucleotide ...
Adam Marchant
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Evolutionary Techniques for Reverse Auctions
Intelligent Control and Automation, 2013 Winner determination is one of the main challenges in combinatorial auctions. However, not much work has been done to solve this problem in the case of reverse auctions using evolutionary techniques. This has motivated us to propose an improvement of a genetic algorithm based method, we have previously proposed, to address two important issues in the ...
Shubhashis Kumar Shil +2 more
openaire +2 more sources
An evolutionary system for design exploration
, 2009 This paper reports on the development of a multi-objective evolutionary developmental design environment, called EDDE. The goal of the system is to make it easier for designers to use evolutionary techniques to explore design possibilities.
P. Janssen, Janssen, P.H.T.
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Challenges in real world optimisation using evolutionary computing [PDF]
, 2004 Challenges in real world optimisation using evolutionary computing With rising global competition, it is becoming increasingly more important for industry to optimise its activities.
Tiwari, Ashutosh, Roy, Rajkumar
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Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks [PDF]
, 2007 Congress on Evolutionary Computation. Singapore, 25-28 September 2007A mobile adhoc network (MANETs) is a self-configuring network of mobile routers (and associated hosts).
A. Cervantes +10 more
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