sBAM in solving Traveling Salesman Problem: A Cost Efficient Algorithm sBAM in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem - Couverture souple

Ahmed, Boshir; Al Mohammad, Abdullah

 
9783838383705: sBAM in solving Traveling Salesman Problem: A Cost Efficient Algorithm sBAM in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem
Couverture souple
ISBN 10 : 3838383702 ISBN 13 : 9783838383705
Editeur : LAP Lambert Academic Publishing, 2010

Synopsis

The Traveling Salesman Problem (TSP) has already been solved in the semi-optimal manners using the numbers of different methods. Among them, genetic algorithms (GA) are pre-dominating. This paper presents a new approach to solve this problem using the Simplified Bi-directional Associative Memory (sBAM), a type of Artificial Neural Network. To get a comparative idea of its performance, the same problem has been solved using a genetic algorithm. In this paper, performance has been analyzed of a TSP by Genetic Algorithm (GA) and sBAM. Finally we proved that sBAM provide real time highly faster nearly optimal solutions than the genetic algorithm.

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À propos des auteurs

Boshir Ahmed is an Assistant Professor in the Department of Computer Science and Engineering at Rajshahi University of Engineering and Technology (RUET), Bangladesh. His research interests include Microprocessor Based System Design, Digital Communication Systems, Computer Networking, Neural Network, Digital System Design and Algorithms.

Boshir Ahmed is an Assistant Professor in the Department of Computer Science and Engineering at Rajshahi University of Engineering and Technology (RUET), Bangladesh. His research interests include Microprocessor Based System Design, Digital Communication Systems, Computer Networking, Neural Network, Digital System Design and Algorithms.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838383702
ISBN 13 
9783838383705
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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