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Parameters in the Genetic Algorithm

Is Parameters Quantification in Genetic Algorithm Important, How to do it?

Is Parameters Quantification in Genetic Algorithm Important, How to do it?

... “appropriate parameters” signifies the correct choice of values has considerable effect on the performance that directs the search process towards the global ...A genetic algorithm is a search and ...

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Estimation of Open Channel Flow Parameters by Using Genetic Algorithm

Estimation of Open Channel Flow Parameters by Using Genetic Algorithm

... flow parameters by using Genetic Algorithm optimization ...other parameters are estimated for different bed materials used ( d 50 = 8 mm and d 50 = 25 mm grain size and Lined concrete bed ...

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Injection parameters optimization of crosslinked polymer flooding by genetic algorithm

Injection parameters optimization of crosslinked polymer flooding by genetic algorithm

... A genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary ...algorithms. Genetic algorithms are commonly used to generate ...

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OPTIMIZATION OF END MILLING PARAMETERS FOR AL/SIC BY GENETIC ALGORITHM

OPTIMIZATION OF END MILLING PARAMETERS FOR AL/SIC BY GENETIC ALGORITHM

... [9] Fei W, Yonghong L, Yanzhen Z, Zemin T, Renjie J, Chao Z. Compound machining of titanium alloy by super high speed EDM milling and arc machining. Journal of Materials Processing Technology 2014; 214: 531– 538. [10] ...

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Optimization the Parameters for Speech Recognition System Using Genetic Algorithm

Optimization the Parameters for Speech Recognition System Using Genetic Algorithm

... Take the place of the current population with the new population. Go to 2 the step. VI. IMPLEMENTATION AND RESULTS The idea in this work is to generate a speech recognizer for Arabic isolated words by implementing ...

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Sensitivity Analysis to Determine the Parameters of Genetic Algorithm for Machine Layout

Sensitivity Analysis to Determine the Parameters of Genetic Algorithm for Machine Layout

... When Genetic Algorithms (GA) are used to solve layout problems, the solution quality may be influenced by the population size, number of generations, the rate of crossover, the rate of mutation, and the length of ...

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Application of genetic algorithm and deep learning for optimization of hyper parameters

Application of genetic algorithm and deep learning for optimization of hyper parameters

... V. Proposed work A technique for optimizing the hyper-parameters selection of a deep network is presented. Genetic algorithm is the evolutionary algorithm selected. The hyper-parameters ...

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Calibration of Damage Parameters for Y5 and G91 Steels in Use of Genetic Algorithm

Calibration of Damage Parameters for Y5 and G91 Steels in Use of Genetic Algorithm

... multi-island genetic algorithm is adopted into well-known Rousselier model to resolve complexity of previous calibration methods since reliability of damage parameters is significantly dependent on ...

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Equalization of DS-UWB Systems using Genetic Algorithm with  Adaptive Parameters

Equalization of DS-UWB Systems using Genetic Algorithm with Adaptive Parameters

... other parameters to investigate their effects on the performance of Genetic Algorithm (GA) in comparison to a previous work, where the output of a RAKE receiver is utilized as the input to a GA so as ...

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Traffic Light Signal Parameters Optimization Using Modification of Multielement Genetic Algorithm

Traffic Light Signal Parameters Optimization Using Modification of Multielement Genetic Algorithm

... signal parameters is presented for solving traffic con- gestion problem using modification of the Multielement Genetic Algorithm ...signal parameters optimization using the MEGA and Particle ...

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A genetic algorithm was used in conjunction with the distributed computing network to optimise the parameters of the absorbers

A genetic algorithm was used in conjunction with the distributed computing network to optimise the parameters of the absorbers

... METHOD Genetic Algorithm A GA is a numerical optimisation method based on the principles of natural selection and ...input parameters to calculate a cost function, such as the acoustic potential ...

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Parameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm

Parameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm

... a genetic algorithm is employed to explore the best damping coefficients and inertia terms of the simulation scheme so as to minimize the presented cost function and taking into account the same input data ...

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Parameters Sensitive Analyses for Using Genetic Algorithm to Solve Continuous Network Design Problems

Parameters Sensitive Analyses for Using Genetic Algorithm to Solve Continuous Network Design Problems

... the parameters settings using genetic algorithm to solve continuous network design problems ...these parameters are also given in this paper, which avoid to set them blindly in ...

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Optimization of PID Controller Parameters based on Genetic Algorithm for non linear Electromechanical Actuator

Optimization of PID Controller Parameters based on Genetic Algorithm for non linear Electromechanical Actuator

... the genetic algorithm were used for non-linear electromechanical actuator to determine the optimal parameters of the PID controller to improve the transient response of the ...designed ...

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Process Parameters Optimization Of Micro Electric Discharge Machining Process Using Genetic Algorithm

Process Parameters Optimization Of Micro Electric Discharge Machining Process Using Genetic Algorithm

... control parameters of the machine have to be set at an optimal setting in order to achieve the desired ...control parameters considered are pulse on time, peak current and flushing ...

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Tuning the parameters of an artificial neural network using central composite design and genetic algorithm

Tuning the parameters of an artificial neural network using central composite design and genetic algorithm

... optimal parameters for the ANN ...identified parameters, by using the overall desirability function. Then the Genetic Algorithm has been proposed to find optimal parameter ...selected ...

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Application of genetic algorithm in problems of approximation of complex multidimensional dependencies and identification of parameters of theoretical models

Application of genetic algorithm in problems of approximation of complex multidimensional dependencies and identification of parameters of theoretical models

... the genetic algorithm to find the most accurate analytical model of the ...The genetic algorithm performs not only the identification of parameters of a theoretical model, but also the ...

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Application of Genetic Algorithm for Optimization of Important Parameters of Magnetically Biased Microstrip Circular Patch Antenna

Application of Genetic Algorithm for Optimization of Important Parameters of Magnetically Biased Microstrip Circular Patch Antenna

... Antenna, Genetic Algorithm, Magnetically Biased ...important parameters of circular patch an- ...important parameters for ferrite substrate under magnetic biasing for circular patch antenna is ...

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Optimization of Machining Parameters to Minimize Tool Deflection in the End Milling Operation Using Genetic Algorithm

Optimization of Machining Parameters to Minimize Tool Deflection in the End Milling Operation Using Genetic Algorithm

... cutting parameters is valuable in terms of providing high precision and efficient ...machining parameters using Genetic Algorithm (GA) so as to minimize tool ...our algorithm considers ...

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Optimization of Process Parameters for Dry Machining of Ti6Al4V with Textured Tools using Genetic Algorithm Approach

Optimization of Process Parameters for Dry Machining of Ti6Al4V with Textured Tools using Genetic Algorithm Approach

... ________________________________________________________________________________________________________ Abstract - Conditions at the chip-tool interface govern the cutting forces, heat generation, tool life and more ...

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