Emerging Trends in Multidisciplinary Research (ICETMR-2020) 15-16 May 2020 at Dhonburi Rajabhat University, Bangkok, Thailand (07-Feb-2020)        |

Journal :   Research Journal of Pharmacy and Technology

Volume No. :   9

Issue No. :  11

Year :  2016

Pages :   1905-1908

ISSN Print :  0974-3618

ISSN Online :  0974-360X


Registration

Allready Registrered
Click to Login

Solving Transportation Problem using Recurrent Neural Network


Raja Das, Sharief Basha. S

shariefbasha.s@vit.ac.in

Address:   Raja Das, Sharief Basha. S*
VIT University, Vellore, Tamil Nadu, India-632014
*Corresponding Author
DOI No: 10.5958/0974-360X.2016.00390.5

ABSTRACT:
The transportation problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts. In this paper, a recurrent neural network for solving the transportation problem is presented. The recurrent neural network is able to generate optimal solutions to the transportation problem. The performance of the recurrent neural network is demonstrated by means of an illustrative example. The recurrent neural network is shown to be capable of generating the transportation and suitable for electronic implementation.
KEYWORDS:
Transportation Problem , Neural Network
Cite:
Raja Das, Sharief Basha. S. Solving Transportation Problem using Recurrent Neural Network. Research J. Pharm. and Tech 2016; 9(11): 1905-1908.
[View HTML]      [View PDF]



Visitor's No. :   710087