2009Journal of Harbin University of CommerceRequires access

Study on solving traveling salesman problem by using ant colony algorithm

Gao Chun-tao

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Abstract

Introduces a solution to the complex optimization problems for the new heuristic algorithm ant colony algorithm.The algorithm describes the basic principles of the model and algorithm in the traveling salesman problem in the specific application process.The results show that the parallel algorithm,robustness,such as the nature of the fine.

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What this paper is about

Introduces a solution to the complex optimization problems for the new heuristic algorithm ant colony algorithm.The algorithm describes the basic principles of the model and algorithm in the traveling salesman problem in the specific application process.The results show that the parallel algorithm,robustness,such as the nature of the fine.

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Available abstract

Introduces a solution to the complex optimization problems for the new heuristic algorithm ant colony algorithm.The algorithm describes the basic principles of the model and algorithm in the traveling salesman problem in the specific application process.The results show that the parallel algorithm,robustness,such as the nature of the fine.

Key concepts: Travelling salesman problem, Ant colony optimization algorithms, Mathematical optimization, Robustness (evolution), 2-opt, Extremal optimization, Heuristic, Computer science

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