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Combination of Multiple Neural Networks to Solve Travelling Salesman Problem using Genetic Algorithm

by Anmol Aggarwal, Jasdeep Singh Bhalla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 11
Year of Publication: 2013
Authors: Anmol Aggarwal, Jasdeep Singh Bhalla
10.5120/14053-1780

Anmol Aggarwal, Jasdeep Singh Bhalla . Combination of Multiple Neural Networks to Solve Travelling Salesman Problem using Genetic Algorithm. International Journal of Computer Applications. 81, 11 ( November 2013), 1-6. DOI=10.5120/14053-1780

@article{ 10.5120/14053-1780,
author = { Anmol Aggarwal, Jasdeep Singh Bhalla },
title = { Combination of Multiple Neural Networks to Solve Travelling Salesman Problem using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 11 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number11/14053-1780/ },
doi = { 10.5120/14053-1780 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:45.871324+05:30
%A Anmol Aggarwal
%A Jasdeep Singh Bhalla
%T Combination of Multiple Neural Networks to Solve Travelling Salesman Problem using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 11
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the already recognized NP Complete problem which is Travelling Salesman Problem which is also known as TSP, is addressed and its performance is analyzed. For a large and complex data set, a particular neural network is needed to focus on a particular component of the problem, after which combining of all the networks together is required. The basic ideology behind this multiple neural network arrangement is that, n-independently different neural networks are trained separately and then their respective outputs (generated independently) are combined together to form the resultant classifier. A new combining technique (for combining outputs of multiple neural networks into one) has been proposed and utilized for evidence blend in the simulation part of the method. Its performance is analyzed on the bases of simulation and it shows some notably enhanced outcomes.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Travelling Salesman Problem Artificial Intelligence Multiple Neural Networks Genetic Algorithm ANNs neural networks.