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《Information Technology》 2008-01
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An improved ant colony optimization for Job-Shop scheduling problem

WANG Li-hong,LIU Sheng-hui (School of Computer,Harbin University of Science and Technology,Harbin 150080,China)  
Ant colony optimization(ACO) is a new kind of simulated evolutionary algorithm,and it has many good features,but it is easy to fall in local peak. The speed at which the ant colony algorithm gives the solution is slow,because there is little information pheromone on the path early.The algorithm in this paper improves the ant colony algorithm and utilizes mutation.The result of the experiment show that the improved algorithm is effective.
【CateGory Index】: TP301.6
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