Sbam in Solving Traveling Salesman Problem: a Cost Efficient Algorithm Sbam in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem - Abdullah Al Mohammad - Boeken - LAP LAMBERT Academic Publishing - 9783838383705 - 13 juli 2010
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Sbam in Solving Traveling Salesman Problem: a Cost Efficient Algorithm Sbam in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem

Abdullah Al Mohammad

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Sbam in Solving Traveling Salesman Problem: a Cost Efficient Algorithm Sbam in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem

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.

Media Boeken     Paperback Book   (Boek met zachte kaft en gelijmde rug)
Vrijgegeven 13 juli 2010
ISBN13 9783838383705
Uitgevers LAP LAMBERT Academic Publishing
Pagina's 64
Afmetingen 225 × 4 × 150 mm   ·   113 g
Taal en grammatica Duits  

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