Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique by Ruwan, S. M. Tharaka

Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique (Paperback) (ISBN-13: 9789999332873)

Vendor: S. M. Tharaka Ruwan
Product type: Books
Format: Paperback
$54.50
$54.50
$54.50
Subtotal: $54.50
Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique by Ruwan, S. M. Tharaka

Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique

$54.50
Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique by Ruwan, S. M. Tharaka

Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique

$54.50
Format: Paperback
Description
Description
x
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.

Author: S. M. Tharaka Ruwan
ISBN-10: 9999332870
ISBN-13: 9789999332873
Publisher: Eliva Press
Language: English
Published: 01/01/2025
Pages: 144
Format: Paperback
Weight: 0.44lbs
Size: 9.00h x 6.00w x 0.31d

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