Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem
Ashwani Chandel1 , Vikram Jeet Singh2
Section:Research Paper, Product Type: Journal Paper
Volume-3 ,
Issue-3 , Page no. 192-195, Mar-2015
Online published on Mar 31, 2015
Copyright © Ashwani Chandel , Vikram Jeet Singh . 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 Citation
IEEE Style Citation: Ashwani Chandel , Vikram Jeet Singh, “Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.192-195, 2015.
MLA Citation
MLA Style Citation: Ashwani Chandel , Vikram Jeet Singh "Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem." International Journal of Computer Sciences and Engineering 3.3 (2015): 192-195.
APA Citation
APA Style Citation: Ashwani Chandel , Vikram Jeet Singh, (2015). Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem. International Journal of Computer Sciences and Engineering, 3(3), 192-195.
BibTex Citation
BibTex Style Citation:
@article{Chandel_2015,
author = {Ashwani Chandel , Vikram Jeet Singh},
title = {Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {192-195},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=447},
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=447
TI - Relative Investigation of Ant Colony Optimization and Genetic Algorithm based Solution to Travelling Salesperson Problem
T2 - International Journal of Computer Sciences and Engineering
AU - Ashwani Chandel , Vikram Jeet Singh
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 192-195
IS - 3
VL - 3
SN - 2347-2693
ER -
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Abstract
Travelling salesperson problem is a nondeterministic polynomial hard problem in combinatorial optimization studied in Operations Research and theoretical computer science. To solve this problem, we used two popular meta-heuristics techniques-Ant Colony Optimization and Genetic Algorithm. Both techniques are applied to solve a TSP with same dataset. We then compare them. For Ant Colony Optimization, we studied the effect of some parameters (number of ants, evaporation and number of iterations) on the produced results. On the other hand, we studied chromosome population, crossover probability and mutation probability parameters that effect Genetic Algorithm results.
Key-Words / Index Term
Ant; Colony; Genetic; Algorithm; Travelling; Salesperson
References
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[9] Vikram Jeet Singh and Ashwani Chandel, “Evolving E-Governance through Cloud Computing based environment”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol 3 Issue 4.
[10] Ashwani Chandel and Manu Sood, “Searching and Optimization Techniques in Artificial Intelligence: A Comparative Study and Complexity Analysis”, International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), Vol 3 Issue 3 (2014).
[11] Vikram Jeet Singh, Vikram Kumar and Kishori Lal Bansal, “Research on Application of Perceived QoS Guarantee through Infrastructure specific Traffic Parameter Optimization”, International Journal of Computer Network and Information Security (IJCNIS), Issue 3, MECS Publisher-Hong Kong (2014).
[12] Ashwani Chandel and Vikram Jeet Singh, “Research on the Design Architecture & Services over a State Wide Area Network: A case of Himachal Pradesh”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Volume 4, Issue 2 (2015)