Results 1 to 10 of about 47,854 (119)
Genetic Algorithm (GA)-Based Inclinometer Layout Optimization. [PDF]
Sensors (Basel), 2015 This paper presents numerical simulation results of an airflow inclinometer with sensitivity studies and thermal optimization of the printed circuit board (PCB) layout for an airflow inclinometer based on a genetic algorithm (GA). Due to the working principle of the gas sensor, the changes of the ambient temperature may cause dramatic voltage drifts of
Liang W, Zhang P, Chen X, Cai M, Yang D.
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GAS, a concept on modeling species in genetic algorithms [PDF]
Artificial Intelligence, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Márk Jelasity, József Dombi 0001
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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 +3 more
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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. +3 more
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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 +3 more
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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 +6 more
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GA: A Package for Genetic Algorithms inR
Journal of Statistical Software, 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 mimicking the biological mechanisms of evolution, such as selection, crossover and mutation.
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The Genetic Algorithm (GA) in Relation to Natural Evolution
Academic Journal of Nawroz University, 2022 For optimizing search global solution for complicated issues the Genetic Algorithm (GA) is a famous evolutionary computation technique that plays an important role in finding meaningful solutions to hard problems with a huge search space could be a process based on genetic selection ideas.
Pawan Shivan Othman +2 more
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A Modified Genetic Algorithm(GA) for Optimization of Process Planning
Journal of Computers, 2011 Computer-aided process planning (CAPP) is an important and complex in the computer integrated manufacturing system(CIMS). The expression methods of process knowledge based on manufacturing feature is established based on the analysis of characteristic of process knowledge.
Jinfeng Wang, BiQiang Du, HaiMin Ding
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Crossing Over Genetic Algorithms: The Sugal Generalised GA
Journal of Heuristics, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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