Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimizing the Symmetric TSP Using a Combined Ant Colony and Genetic Algorithm Technique

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

Ruwan, S. M. Tharaka

Paperback

General Mathematics

ISBN10: 9999332870
ISBN13: 9789999332873
Publisher: Eliva Press
Published: Jan 1 2025
Pages: 144
Weight: 0.44
Height: 0.31 Width: 6.00 Depth: 9.00
Language: English
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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