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Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique: A Novel Hybrid Optimization Method for the Symmetric Traveling Salesman Problem - Couverture souple

Ruwan, S.M. Tharaka; Ekanayake, E.M.U.S.B.

 
9789999332873: Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique: A Novel Hybrid Optimization Method for the Symmetric Traveling Salesman Problem
Couverture souple
ISBN 10 : 9999332870 ISBN 13 : 9789999332873
Editeur : Eliva Press, 2025

Synopsis

The Traveling Salesman Problem (TSP) remains one of the most challenging and fascinating problems in optimization. This book introduces a powerful hybrid method that combines the strengths of Ant Colony Optimization and Genetic Algorithms to solve the Symmetric TSP more efficiently. Designed for both beginners and advanced readers, the book explains the theories behind ACO and GA, shows how they can be combined, and presents real experimental results. Whether you are a researcher, student, or someone passionate about intelligent algorithms, this work will guide you through the process of designing and evaluating hybrid optimization systems in a clear and practical way.

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Éditeur
Eliva Press
Date d'édition
2025
Langue
anglais
ISBN 10 
9999332870
ISBN 13 
9789999332873
Reliure
Broché
Nombre de pages
143
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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