Systems Engineering and Electronics

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LF improved colony clustering algorithm based on capturing for first time and proximity principles

XUE Song1,3, CHEN Shouwen4, FENG Jingchun2   

  1. 1. Business School, Hohai University, Nanjing 211100, China; 2. Institute of Project Management, 
    Hohai University, Nanjing 211100, China; 3. Jiangsu Provincial Collaborative Innovation Center of 
    World Water Valley and Water Ecological Civilization, Nanjing 211100, China; 4. School of 
    Mathematics and Finance, Chuzhou University, Chuzhou 239000, China
  • Online:2017-02-25 Published:2010-01-03

Abstract:

An LF improved colony clustering algorithm is discussed. Capturing for first time principle can overcome the phenomenon that ants can not find the object to be processed in the initial period of algorithm operation, so that different ants can meet different objects at the beginning. In the LF algorithm, when ants are not loaded and try to execute pick up operation instructions, if they do not transfer the object, the next object to be processed will be chosen based on the location proximity principle. When ants are loaded and try to execute put down operation instructions, the appropriate placement will be selected based on the proximity principle of objects. The improved algorithm can not only deal with the clustering problem, but also can be used as a preprocessing step for other algorithms, and it has a certain application value.

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