Results 91 to 100 of about 8,029,668 (390)
Optimization-Based Image Segmentation by Genetic Algorithms
EURASIP Journal on Image and Video Processing, 2008 Many works in the literature focus on the definition of evaluation metrics and criteria that enable to quantify the performance of an image processing algorithm.
Rosenberger C +3 more
doaj +2 more sources
GENETIC ALGORITHMS OF WORK DISTRIBUTION
Вестник Донского государственного технического университета, 2018 The tasks of heterogeneous work distribution among heterogeneous executors taking into account operation and switching process costs are investigated. Genetic algorithms of work distribution that can be used for solving various practical tasks both in ...
Andrey R. Aidinyan, Olga L. Tsvetkova
doaj
GemTools: A fast and efficient approach to estimating genetic ancestry [PDF]
arXiv, 2011 To uncover the genetic basis of complex disease, individuals are often measured at a large number of genetic variants (usually SNPs) across the genome. GemTools provides computationally efficient tools for modeling genetic ancestry based on SNP genotypes.
arxiv
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source
Heuristic algorithms in topological design of telecommunication networks
Journal of Telecommunications and Information Technology, 2003 The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would
Piotr Karaś
doaj +1 more source
Theoretical Computer Science, 2001 Abstract(i) We investigate spectral and geometric properties of the mutation-crossover operator in a genetic algorithm with general-size alphabet. By computing spectral estimates, we show how the crossover operator enhances the averaging procedure of the mutation operator in the random generator phase of the genetic algorithm.
openaire +1 more source
GA: A Package for Genetic Algorithms in R
, 2013 Genetic algorithms (GAs) are stochastic search algorithms inspired by the basic principles of biological evolution and natural selection. GAs simulate the evolution of living organisms, where the fittest individuals dominate over the weaker ones, by ...
Luca Scrucca
semanticscholar +1 more source
Genetic algorithms are mathematical, highly parallel, adaptive search procedures (i.e., problem solving methods) based loosely on the processes of natural genetics and Darwinian survival of the fittest.
Bayer, Steven E., Wang, Lui
core +1 more source
Molecular Oncology, Volume 19, Issue 4, Page 1203-1228, April 2025.MiR‐99a‐5p/miR‐100‐5p (functionally identical) and miR‐125b‐5p microRNAs are downregulated in malignant germ cell tumors (GCTs). Combination replenishment of these microRNAs using mimics resulted in growth inhibition in representative cell lines, with consequent downregulation of target genes involved in cell cycle (confirmed by flow cytometry) and ...
Marta Ferraresso +12 more
wiley +1 more source
Molecular Oncology, Volume 19, Issue 4, Page 1229-1243, April 2025.We assessed the associations between the gut microbiota and outcome in metastatic triple‐negative breast cancer patients treated with chemotherapy alone or chemotherapy in combination with immunotherapy. Our data indicate that high gut microbiota alpha diversity was associated with improved clinical outcome and with benefit from immunotherapy.
Andreas Ullern +8 more
wiley +1 more source