Genetic Algorithm: an Optimization Tool for Real World Problems

Authors

  • Tanisha Pandey Research Scholar, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India
  • Mugdha Mishra Assistant Professor, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India

DOI:

https://doi.org/10.37591/joeecc.v9i3.3432

Abstract

Abstract
The main goal of this research work is to give the lesson on genetic algorithm with the help of evaluation concept of our environment. Genetic algorithm is a type of optimization algorithm, means it is used to find the optimal solution to a given computational problem that maximizes or minimizes a function. Genetic algorithms represent a branch of the field of study called evolutionary computation, in which they imitate the biological processes of reproduction and natural selection to solve for the ‘fittest’ solutions.
Keywords: Environment optimization, electric power system, GA, MATLAB, mutation

Cite this Article
Tanisha Pandey, Mugdha Mishra. Genetic Algorithm: an Optimization Tool for Real World Problems. Journal of Energy, Environment & Carbon Credits. 2019;
9(3): 17–21p.

Author Biographies

  • Tanisha Pandey, Research Scholar, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India
    Research Scholar, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India
  • Mugdha Mishra, Assistant Professor, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India
    Assistant Professor, Department of Electrical Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India

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Published

2020-01-01

Issue

Vol. 9 No. 3 (2019)

Section

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