Results 11 to 20 of about 55,613 (263)

A network security situation prediction model based on wavelet neural network with optimized parameters

Digital Communications and Networks, 2016
The security incidents ion networks are sudden and uncertain, it is very hard to precisely predict the network security situation by traditional methods.
Haibo Zhang, Qing Huang, Fangwei Li, Jiang Zhu   +3 more
doaj   +1 more source

Genetic algorithm for the pair distribution function of the electron gas [PDF]

Interdisciplinary Sciences: Computational Life Sciences, 2011
The pair distribution function of the electron gas is calculated using a parameterized generalization of quantum hypernetted chain approximation with the parameters being obtained by optimizing the system energy with a genetic algorithm. The functions so obtained are compared with Monte Carlo simulations performed by other authors in its variational ...
Vericat, Fernando, Stoico, César Omar, Carlevaro, Carlos Manuel, Renzi, Danilo G.   +3 more
openaire   +4 more sources

Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2021
In this paper, the genetic algorithm (GA) which is a stochastic optimization algorithm is proposed. The genetic algorithm is echoing the natural selection and genetics. The control of the suggested plant can be done in different ways.
Ghaith Majd Fadhil, Issa Ahmed Abed, Rasheed Sabah Jasim   +2 more
doaj   +1 more source

Genetic Algorithm for Gas Turbine Blading Design

Volume 7: Turbomachinery, Parts A, B, and C, 2011
Designing a gas turbine from scratch has always been an extremely laborious task in terms of obtaining the desired power output and efficiency. Theoretical prediction of the performances of a gas turbine has proven in time to be a compromise between accuracy and simplicity of the calculus.
Cuciumita, C.F., Vilag, V.A., Silivestru, V., Porumbel, I.   +3 more
openaire   +2 more sources

The GA and the GWAS: Using Genetic Algorithms to Search for Multilocus Associations [PDF]

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
Enormous data collection efforts and improvements in technology have made large genome-wide association studies a promising approach for better understanding the genetics of common diseases. Still, the knowledge gained from these studies may be extended even further by testing the hypothesis that genetic susceptibility is due to the combined effect of ...
Michael, Mooney, Beth, Wilmot, The, Bipolar Genome Study, Shannon, McWeeney   +3 more
openaire   +2 more sources

Exploring human genome feature for improving genetic algorithm performance [PDF]

MATEC Web of Conferences, 2019
Genetic algorithm (i.e., GA) has longtermly obtained an extensive recognition for solving the optimization problem. Its pipelines process, which involves several operations, has been applied in many NP-hard problems, including the transportation network ...
Zukhruf Febri, Susan Kurnia Irma, Bona Frazila Russ, Irawan Nugraha Gaga, Rizky A.A Syamsunarno Mas   +4 more
doaj   +1 more source

Genetic Algorithm (GA) for Multiprocessors Scheduling

International Journal of Engineering & Technology, 2018
In a multiprocessors environment, an algorithm is used to effectively delegate tasks to the processors. The algorithm act as the resource distributor and controller to ensure that the processors are equally utilized thus optimizing the usage of the processors.
Sainuddin Mohd Jufri, Saiful Izwan Suliman, Mohd Asri Mansor, Yuslinda Wati Mohamad Yusof, Roslina Mohamad, Shahrani Shahbudin, Murizah Kassim   +6 more
openaire   +2 more sources

Topology optimization of computer communication network based on improved genetic algorithm

Journal of Intelligent Systems, 2022
The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the ...
Ai Hua, Fan Yuhong, Zhang Jilei, Ghafoor Kayhan Zrar   +3 more
doaj   +1 more source

Optimizing HMI for Intelligent Electric Vehicles Using BCI and Deep Neural Networks with Genetic Algorithms

World Electric Vehicle Journal
This study utilizes a brain—computer interface (BCI)—based deep neural network (DNN) and genetic algorithm (GA) method. This research explores the interaction design of the main control human-machine interaction interfaces (HMIs) for intelligent electric
Xinmin Jin, Jian Teng, Shaw-mung Lee
doaj   +1 more source

Comparative analysis of genetic crossover operators in knapsack problem

Journal of Applied Sciences and Environmental Management, 2016
The Genetic Algorithm (GA) is an evolutionary algorithms and technique based on natural selections of individuals called chromosomes. In this paper, a method for solving Knapsack problem via GA (Genetic Algorithm) is presented. We compared six different
D Hakimi, D.O. Oyewola, Y Yahaya, G Bolarin   +3 more
doaj   +1 more source