Results 71 to 80 of about 3,379,728 (314)
Evolutionary Computation for Air Transportation: A Survey
As 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
doaj +1 more source
Design Exploration of Initial Bubbles for Higher-Speed Laser-Induced Microjets
Laser-induced microjets are advantageous for yielding high-speed and convergent microjets shape. However, owing to the need for high-power laser devices, reducing the required laser power is a prerequisite for convenience in practical use.
Tatsumasa Ishikawa +2 more
doaj +1 more source
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms
Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity throughout the process of evolution, various means exist in literature.
Fortin Félix-Antoine +3 more
core +1 more source
Molecular bases of circadian magnesium rhythms across eukaryotes
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
ECF: A C++ framework for evolutionary computation
Metaheuristics 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
doaj +1 more source
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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GA Approach to Optimize Training Client Set in Federated Learning
Federated learning, where the distribution of distributed data is unknown, is more difficult and costly to train a central model with than traditional machine learning.
Dongseok Kang, Chang Wook Ahn
doaj +1 more source
Computation Environments, An Interactive Semantics for Turing Machines (which P is not equal to NP considering it) [PDF]
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
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source

