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sBAM in solving Traveling Salesman Problem

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Description

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.
Release date Australia
July 13th, 2010
Pages
64
Audience
  • General (US: Trade)
Dimensions
152x229x4
ISBN-13
9783838383705
Product ID
25710385

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