General Ant Colony Algorithm and Its Applications in Robot Formation
ZHANG Ying1,2, CHEN XueBo2
1.School of Electronics and Information Engineering, Dalian University of Technology, Dalian 116024 2.School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan 114044
Abstract：A general ant colony algorithm is proposed. In this algorithm, ants are supposed to be divided into several swarms and each swarm possesses its own nest and food at different places. During a preset period, ants from the same swarm increase the strength of pheromone on the shortest path which they have found between a food source and the nest. In the meanwhile, they adjust the strength of pheromone on other paths to zero. Each swarm moves on its own path and collision never occurs. When environment changes, the swarms crawl to their food along the increased pheromone. The general ant algorithm combined with the affine transformation is applied to the robot formation, and the results are effective.
张颖，陈雪波. 广义蚁群算法及其在机器人队形变换中的应用*[J]. 模式识别与人工智能, 2007, 20(3): 319-324.
ZHANG Ying , CHEN XueBo. General Ant Colony Algorithm and Its Applications in Robot Formation. , 2007, 20(3): 319-324.
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2007, Vol. 20 
