2002Computer and ModernizationRequires access

Satisfactory Solution of Chinese Travelling Salesman Problem Based on Ant Colony Algorithm

Xiao Jian

Open publisher page 1 citations

Abstract

Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem. This paper gives a brief introduction on the ant colony algorithm and modifies it to solve the Chinese travelling salesman problem. Result shows that the performance of ant colony algorithm is improved and the present best solution is found. It also points out that the ant colony algorithm still has to be modified in many ways.

About this research paper

What this paper is about

Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem. This paper gives a brief introduction on the ant colony algorithm and modifies it to solve the Chinese travelling salesman problem. Result shows that the performance of ant colony algorithm is improved and the present best solution is found. It also points out that the ant colony algorithm still has to be modified in many ways.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem. This paper gives a brief introduction on the ant colony algorithm and modifies it to solve the Chinese travelling salesman problem. Result shows that the performance of ant colony algorithm is improved and the present best solution is found. It also points out that the ant colony algorithm still has to be modified in many ways.

Key concepts: Travelling salesman problem, Ant colony optimization algorithms, Computer science, Ant colony, Algorithm, Mathematical optimization, Artificial bee colony algorithm, Extremal optimization

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