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portada Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique
Type
Physical Book
Publisher
Language
English
Pages
144
Format
Paperback
Dimensions
22.9x15.2x0.8 cm
ISBN13
9789999332873

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

Ruwan, S. M. Tharaka (Author) · Eliva Press · Paperback

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

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

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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