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

Ekanayake, E.M.U.S.B. (Author)/ Ruwan, S.M. Tharaka (Author)

ISBN 10: 9999332870 / ISBN 13: 9789999332873

Published by Eliva Press, 2025

About this Item

143 pages. 6.00x0.33x9.00 inches. In Stock.

Seller Inventory # x-9999332870

Bibliographic Details

• Title: Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique: A Novel Hybrid Optimization Method for the Symmetric Traveling Salesman Problem
• Publisher: Eliva Press
• Publication Date: 2025
• Language: English
• ISBN 10: 9999332870
• ISBN 13: 9789999332873
• Binding: Paperback
• Condition: Brand New
• Weight: 0.2 kilograms

About this title

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.