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A Review on Genetic Algorithm Operations and Application in Telecommunication Routing

Neha Singh1 , P. K. Chaurasia2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 373-377, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.373377

Online published on Jul 31, 2019

Copyright © Neha Singh, P. K. Chaurasia . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Neha Singh, P. K. Chaurasia, “A Review on Genetic Algorithm Operations and Application in Telecommunication Routing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.373-377, 2019.

MLA Style Citation: Neha Singh, P. K. Chaurasia "A Review on Genetic Algorithm Operations and Application in Telecommunication Routing." International Journal of Computer Sciences and Engineering 7.7 (2019): 373-377.

APA Style Citation: Neha Singh, P. K. Chaurasia, (2019). A Review on Genetic Algorithm Operations and Application in Telecommunication Routing. International Journal of Computer Sciences and Engineering, 7(7), 373-377.

BibTex Style Citation:
@article{Singh_2019,
author = {Neha Singh, P. K. Chaurasia},
title = {A Review on Genetic Algorithm Operations and Application in Telecommunication Routing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {373-377},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4773},
doi = {https://doi.org/10.26438/ijcse/v7i7.373377}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.373377}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4773
TI - A Review on Genetic Algorithm Operations and Application in Telecommunication Routing
T2 - International Journal of Computer Sciences and Engineering
AU - Neha Singh, P. K. Chaurasia
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 373-377
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

Genetic algorithm is a powerful tool and wide class of global optimization methods. It belongs to the large class of evolutionary algorithm and an efficient way to get optimal solutions. There is a large class of optimization problems that are quite hard to solve by conventional optimization technique but genetic algorithm (GA) is very efficient in that case too. Genetic Algorithm is used to solve many real world problems, some applications are as automotive design, Robotics, Optimized Telecommunications Routing, Biometric invention, Trip-traffic and Shipment routing, Computer gaming, Gene expression profiting, Marketing and Merchandising, etc. The main goal of this work is to solve the telecommunication routing problem by using Genetic Algorithm.

Key-Words / Index Term

Genetic Algorithm, Telecommunication Routing, Optimization Technique, Evolutionary Algorithm

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