Evolutionary synthesis of nonlinear models based on metaheuristic programming and templates
О. Г. Монахов
openalex +1 more source
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design [PDF]
David Hodan +2 more
openalex +1 more source
Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning [PDF]
Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are many random (not very rational) decisions in these algorithms.
Zhang, Qingfu
core
Day/night variations of myeloid and lymphoid cell subsets in the murine inguinal lymph node
The circadian system is involved in the temporal regulation of the immune system. Our study reveals that two innate immune populations, NKT cells and neutrophils, predominate at the beginning of the day in healthy mice, highlighting how the time of day influences immune responses.
Paula M. Wagner +6 more
wiley +1 more source
Genetic Algorithms and Programming - An Evolutionary Methodology
T. Venkat Narayana Rao Srikanth Madiraju
openalex +1 more source
Temporal Phylogenetic Networks and Logic Programming
The concept of a temporal phylogenetic network is a mathematical model of evolution of a family of natural languages. It takes into account the fact that languages can trade their characteristics with each other when linguistic communities are in contact,
Erdem, Esra +2 more
core +1 more source
Autophagosome marker, LC3, is released extracellularly via several distinct pathways
This study establishes a novel HiBiT‐tagging system for ultrasensitive detection of LC3, revealing multiple pathways for its extracellular secretion. It demonstrates that LC3 is released via both autophagy‐dependent and ‐independent mechanisms, including a novel route for nonlipidated LC3‐I.
Koki Saito +3 more
wiley +1 more source
A hybrid gene expression programming algorithm based on orthogonal design
The last decade has witnessed a great interest on the application of evolutionary algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO) and gene expression programming (GEP), for optimization problems. This paper presents a hybrid
Jie Yang, Jun Ma
doaj +1 more source
A discipline of evolutionary programming
Genetic fitness optimization using small populations or small population updates across generations generally suffers from randomly diverging evolutions. We propose a notion of highly probable fitness optimization through feasible evolutionary computing runs on small size populations. Based on rapidly mixing Markov chains, the approach pertains to most
openaire +5 more sources
Analysis of Treacher Collins syndrome 4‐associated mutations in Schizosaccharomyces pombe
Fission yeast models carrying Treacher Collins syndrome type 4‐associated mutations reveal that impaired processivity of RNA polymerase I leads to defective rRNA transcription. This study highlights the essential role of a conserved arginine residue in Pol I elongation and provides mechanistic insight into the pathogenesis of ribosomopathies.
Kei Kawakami, Hiroaki Kato
wiley +1 more source

