Results 61 to 70 of about 250,700 (315)
Redundant Representations in Evolutionary Computation [PDF]
Evolutionary Computation, 2003 This paper discusses how the use of redundant representations influences the performance of genetic and evolutionary algorithms. Representations are redundant if the number of genotypes exceeds the number of phenotypes. A distinction is made between synonymously and non-synonymously redundant representations. Representations are synonymously redundant
Rothlauf, Franz, Goldberg, David E.
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FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Evolutionary Computation for Air Transportation: A Survey
MathematicsAs the demand for air transportation continues to grow, airspace congestion, flight delays, operational costs, and safety have become important and challenging issues.
Rui Huang, Zong-Gan Chen
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Evolutionary Algorithms for Quantum Computers [PDF]
Algorithmica, 2013 Algorithmica, 68 (1)
Johannsen, Daniel +2 more
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Mechanisms and kinetic assays of aminoacyl‐tRNA synthetases
FEBS Letters, EarlyView.Accurate protein synthesis is crucial for life. The key players are aminoacyl‐tRNA synthetases (AARSs), which read the genetic code by pairing cognate amino acids and tRNAs. AARSs establish high amino acid selectivity by employing physicochemical limits in molecular recognition.
Igor Zivkovic +2 more
wiley +1 more source
ECF: A C＋＋ framework for evolutionary computation
SoftwareXMetaheuristics have been shown to be efficient techniques for addressing a wide range of complex optimization problems. Developing flexible, reliable, and efficient frameworks for evolutionary computation metaheuristics is of great importance.
Domagoj Jakobovic +3 more
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IEEE Access, 2020 Binary butterfly optimization approach (bBOA) is a recent high performing feature selection algorithm presented in 2018 which is based on the food foraging behavior of butterflies.
Bo Zhang +4 more
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Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Computation Environments, An Interactive Semantics for Turing Machines (which P is not equal to NP considering it) [PDF]
, 2012 To scrutinize notions of computation and time complexity, we introduce and formally define an interactive model for computation that we call it the \emph{computation environment}.
Ramezanian, Rasoul
core
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source