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12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid (AMCST 2010 E-BOOK)

Fuzhou,China,11.1-11.3，2010

ISBN: 978-1-935068-23-5 Scientific Research Publishing, USA

E-Book 660pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $120

Title: Combination Study on Solving Traveling Salesman Problems by Ant Genetic Colony Hybrid Algorithm
Source: 12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid (AMCST 2010 E-BOOK) (pp 584-589)
Author(s): Chun-xiang Wang, Institute of Mechanical Engineering Inner Mongolia University of Science &Technology Baotou, Inner Mongolia 14010
Xiao-ni Guo, Institute of Mechanical Engineering Inner Mongolia University of Science &Technology Baotou, Inner Mongolia 14010
Abstract: In order to get more than a single genetic algorithm and the ant colony algorithm better performance, increase the merits each other and avoid defect, studied genetic ant colony hybrid algorithm of solving Traveling Salesman Problems (TSP). Hybrid algorithm adopts first genetic later ant colony. According to the
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