Results 51 to 60 of about 813,318 (331)

ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS

open access: yesThe Journal of Engineering Research, 2019
The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy ...
Rachna Jain, Arun Sharma
doaj   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

open access: yesMolecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian   +10 more
wiley   +1 more source

Optimization-Based Image Segmentation by Genetic Algorithms

open access: yesEURASIP 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

Comparative analysis of the method of assignment by classes in GAVaPS

open access: yesJournal of Computer Science and Technology, 2000
Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped
Laura Cristina Lanzarini   +3 more
doaj  

An incremental approach to genetic algorithms based classification [PDF]

open access: yes, 2005
Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental
Guan, SU, Zhu, F
core   +3 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

open access: yesMolecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath   +13 more
wiley   +1 more source

Production Layout Planning Using Genetic Algorithms

open access: yesCommunications, 2015
Globalisation of entrepreneurship has not only opened world markets but also global competition. The fundamental criteria for decisions on allocation of manufacturing capacities are currently not only costs (manufacturing, logistics, etc.), but mainly ...
Martin Krajcovic, Viktor Hancinsky
doaj   +1 more source

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

open access: yesMolecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert   +13 more
wiley   +1 more source

GENETIC ALGORITHMS OF WORK DISTRIBUTION

open access: yesВестник 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  

Local Crossover: A New Genetic Operator for Grammatical Evolution

open access: yesAlgorithms
The presented work outlines a new genetic crossover operator, which can be used to solve problems by the Grammatical Evolution technique. This new operator intensively applies the one-point crossover procedure to randomly selected chromosomes with the ...
Ioannis G. Tsoulos   +2 more
doaj   +1 more source

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