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2008 1

2007 1

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pheromone 2

TSP 1

ant colony algorithm 1

optimization 1

particle swarm algorithm 1

positive feedback 1

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Using PSO to update pheromone for the traveling salesman problem

Cheng Weiming,Tang Zhenmin,Zhao Chunxia,Chen Debao

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 165-168

Abstract:

Using pheromone of ant coloney system as reference, a novel method of

Keywords: pheromone     particle swarm algorithm     TSP    

Ant Colony Algorithm:Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 98-102

Abstract:

 Ant colony algorithm is a novel category of bionic meta唱heuristic system, and parallel computation and positive feedback mechanism are adopted in this algorithm. Ant colony algorithm, which has strong robustness and is easy to combine with other methods in optimization, has wide application in various combined optimization fields. Based on the introduction of the mathematical model of basic ant colony algorithm, typical improved models and applications of the ant colony algorithm in the21st century are listed. Finally, based on the systematic address of model improvement, theoretical analysis, parallel realization, application field,  hardware realization and intelligent combination, the key issues and prospects of the ant colony algorithm are proposed in detail.

Keywords: ant colony algorithm     pheromone     positive feedback     optimization    

Title Author Date Type Operation

Using PSO to update pheromone for the traveling salesman problem

Cheng Weiming,Tang Zhenmin,Zhao Chunxia,Chen Debao

Journal Article

Ant Colony Algorithm:Survey and Prospect

Duan Haibin,Wang Daobo, Yu Xiufen

Journal Article