Results 91 to 100 of about 46,925 (311)
Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
Complex & Intelligent Systems, 2019 Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges
Carlos A. Coello Coello +4 more
doaj +1 more source
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
A minimum population search hybrid for large scale global optimization
Large-scale global optimization is a challenging task which is embedded in many scientific and engineering applications. Among large scale problems, multimodal functions present an exceptional challenge because of the need to promote exploration. In this
core +1 more source
Towards an evolved lower bound for the most circular partition of a square
, 2009 We examine the problem of partitioning a square into convex polygons which are as circular as possible. Circular means that the polygon's aspect ratio is supposed to be near 1.
Obermaier, C. +3 more
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Urban-Tissue Optimization through Evolutionary Computation [PDF]
, 2021 This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine ...
Makki, M +2 more
core
The Evolution of Evolutionary Computation [PDF]
, 2003 Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily ”genetic” or ”evolutionary” in any ...
openaire +1 more source
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
RFreak-An R-package for evolutionary computation [PDF]
RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R.
Nunkesser, Robin
core
Optimizing energy output and layout costs for large wind farms using particle swarm optimization
, 2012 The design of a wind farm involves several complex optimization problems. We consider the multi-objective optimization problem of maximizing the energy output under the consideration of wake effects and minimizing the cost of the turbines and land area ...
Kalyan Veeramachaneni +7 more
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IET Renewable Power GenerationAdvent of distributed generation and progression towards an intelligent grid infrastructure within the domain of contemporary electrical power systems have created dynamic load profiles.
Samira Sadeghi +3 more
doaj +1 more source