A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems
This paper presents a comparative study of some Neural Networks methods and the newly-designed African Buffalo Optimization in solving 12 popular benchmark symmetric Travelling Salesman’s Problems. Recently, researchers are exploring solutions to difficult combinatorial problems using the Neural Net...
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ump-199102018-07-27T01:59:09Z http://umpir.ump.edu.my/id/eprint/19910/ A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad QA75 Electronic computers. Computer science This paper presents a comparative study of some Neural Networks methods and the newly-designed African Buffalo Optimization in solving 12 popular benchmark symmetric Travelling Salesman’s Problems. Recently, researchers are exploring solutions to difficult combinatorial problems using the Neural Networks methods. So far, the experiments have been successful. On the other hand, the metaheuristic, African Buffalo Optimization has proven to be quite effective and efficient in providing solutions to some NP-hard and NP-Complete problems, including, of course, the Travelling Salesman’s Problems. After a number of experimental evaluations on the chosen dataset, the African Buffalo Optimization was found to be more successful in solving the symmetric Travelling Salesman’s Problems under consideration. American Scientific Publishers 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19910/1/A%20Comparative%20Study%20of%20Neural%20Networks%20methods.pdf Odili, Julius Beneoluchi and M. N. M., Kahar and Noraziah, Ahmad (2017) A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems. Advanced Science Letters, 23 (11). pp. 11044-11047. ISSN 1936-6612 https://doi.org/10.1166/asl.2017.10216 doi: 10.1166/asl.2017.10216 |
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QA75 Electronic computers. Computer science Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
description |
This paper presents a comparative study of some Neural Networks methods and the newly-designed African Buffalo Optimization in solving 12 popular benchmark symmetric Travelling Salesman’s Problems. Recently, researchers are exploring solutions to difficult combinatorial problems using the Neural Networks methods. So far, the experiments have been successful. On the other hand, the metaheuristic, African Buffalo Optimization has proven to be quite effective and efficient in providing solutions to some NP-hard and NP-Complete problems, including, of course, the Travelling Salesman’s Problems. After a number of experimental evaluations on the chosen dataset, the African Buffalo Optimization was found to be more successful in solving the symmetric Travelling Salesman’s Problems under consideration. |
format |
Article |
author |
Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
author_facet |
Odili, Julius Beneoluchi M. N. M., Kahar Noraziah, Ahmad |
author_sort |
Odili, Julius Beneoluchi |
title |
A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
title_short |
A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
title_full |
A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
title_fullStr |
A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
title_full_unstemmed |
A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems |
title_sort |
comparative study of neural networks methods & the african buffalo optimization for the travelling salesman’s problems |
publisher |
American Scientific Publishers |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/19910/ http://umpir.ump.edu.my/id/eprint/19910/ http://umpir.ump.edu.my/id/eprint/19910/ http://umpir.ump.edu.my/id/eprint/19910/1/A%20Comparative%20Study%20of%20Neural%20Networks%20methods.pdf |
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2023-09-18T22:28:32Z |
last_indexed |
2023-09-18T22:28:32Z |
_version_ |
1777416129350729728 |