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A Comparative Study of Neural Networks methods & the African Buffalo Optimization for the Travelling Salesman’s Problems

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: African Buffalo Optimization; Neural Networks; Travelling Salesman’s Problem
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 05 Jun 2018 02:46
Last Modified: 27 Jul 2018 01:59
URI: http://umpir.ump.edu.my/id/eprint/19910
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