Genetic Algorithm (GABranch Coverage Value (BCVHigh quality software can be obtained by means of rigorous testing of all the components of the software. This research work has proposed an automated software testing framework that performs a mutant based components impact analysis to identify the ...
Population-based biobanks with genomic and dense phenotype data provide opportunities for generating effective therapeutic hypotheses and understanding the genomic role in disease predisposition. To characterize latent components of genetic associations,
Decision-Making depends on algorithms that determine sequences of actions to reach a specific goals. Techniques such as A* Search or Monte Carlo Tree Search are commonly used along with optimization methods like Linear Programming and Genetic Algorithms to identify the best sequence of actions from ...
SGEGC: A Selfish Gene Theory Based Optimization Method by Exchanging Genetic ComponentsEstimation of Distribution AlgorithmsSelfish Gene TheoryNonlinearity CheckIn this paper, a new algorithm named SGEGC was proposed. Inspired by selfish gene theory, SGEGC uses a vector of survival rate to model the...
The model for predicting reliability and durability of reuse components is then developedusing Artificial Neural Networks (ANNs) and further optimised for reliability and life cycle cost using GeneticAlgorithm (GA).Findings: The proposed model will enable the local automotive industry to effectively ...
Simulation-based optimization of geometry parameters is an inherent and important stage of microwave design process. To ensure reliability, the optimization process is normally carried out using full-wave electromagnetic (EM) simulation tools, which enta
In addition, the yielding of the metal component is prevented by a boundary condition. The failure of the FRP component is also considered. The optimisation is based on a genetic algorithm. The method developed by Tröster et al. (2021) identifies potentially suitable components for the use ...
Parameter optimization of thermal network model for aerial cameras utilizing Monte-Carlo and genetic algorithm Yue Fan ,Wei Feng &Dazhi Wang Article 12 August 2024|Open Access Complex dynamics in nonlinear small time-delayed optoelectronic oscillator and application in fast reservoir computing and pulse ...
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Y Zhang, R B Randall. Rolling element bearing fault diagnosis based on the combination of genetic algorithms and fast kurtogram.Mechanical Systems and Signal Processing, 2009, 23(5): 1509-1517. ArticleGoogle Scholar F Jia, Y Lei, J Lin, et al. Deep neural networks: A promising tool for ...