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《Chinese Journal of Scientific Instrument》 2001-S2
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An Ant Colony Algorithm with Stochastic Disturbance Features

Hao Jin\ Shi Libao\ Zhou Jiaqi (Electrical En gineering College, Chongqing University, Chongqing 400044 China) (High Voltage and Electrical Engineering New Technology Key Laboratory of Ministry of Education, Chongqing University, Chongqing 400044,Chin  
A novel transition strategy is developed in this paper, based on the basic ant colony algorithm. The new transition strategy prossesses strong robustness and self\|adaptability. Theory analysis and numerical results demonstrate that the operational efficiency and computational precision can be effectively improved through adopting the new transition strategy. It is superio r to the basic ant colony algorithm.
【CateGory Index】: TP301.6
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