bokomslag sBAM in solving Traveling Salesman Problem
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sBAM in solving Traveling Salesman Problem

Boshir Ahmed Abdullah Al Mohammad

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  • 64 sidor
  • 2010
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.
  • Författare: Boshir Ahmed, Abdullah Al Mohammad
  • Format: Pocket/Paperback
  • ISBN: 9783838383705
  • Språk: Engelska
  • Antal sidor: 64
  • Utgivningsdatum: 2010-07-13
  • Förlag: LAP Lambert Academic Publishing