Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller
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 +2 more
doaj +1 more source
Exploring human genome feature for improving genetic algorithm performance [PDF]
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 +4 more
doaj +1 more source
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
Topology optimization of computer communication network based on improved genetic algorithm
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 +3 more
doaj +1 more source
ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS
Lately, one notices an increase in the applications of the genetic algorithms (GA) through several fields, and one noted that all the utilisateurs(exploiteurs) these algorithms wonder on the choice of the values of the genetic operators in order to ...
Mimoun YOUNES, Mostafa RAHLI
doaj +2 more sources
Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots
This work describes the performance of a DPNA-GA (Dynamic Planning Navigation Algorithm optimized with Genetic Algorithm) algorithm applied to autonomous navigation in unknown static and dynamic terrestrial environments.
Caroline A. D. Silva +2 more
doaj +1 more source
An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
doaj +1 more source
Comparative analysis of genetic crossover operators in knapsack problem
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 +3 more
doaj +1 more source
Performance Enhancement of Data Classification using Selectively Cloned Genetic Algorithm for Neural Network [PDF]
The paper demonstrates performance enhancement using selective cloning on evolutionary neural network over the conventional genetic algorithm and neural back propagation algorithm for data classification.
Devinder Kaur, Praneeth Nelapati
doaj +1 more source
Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model
With the continuous development of urbanization, the urban population is becoming more and more dense, and the demand for land is becoming more and more tense. Urban expansion has become an indispensable part of urban development.
Hewu Kuang
doaj +1 more source

