Time Complexity Analysis of Ant Colony Algorithm on First Order Deceptive Problem
CHEN Ling1,2,SUN Hai-Yin1
1.Department of Computer,College of Information Engineering,Yangzhou University,Yangzhou 225009 2.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093
Abstract：The time complexity of ant colony optimization (ACO) on the deceptive systems is analyzed. Based on the study of the n-bit trap problem which is a first order deceptive problem of ACO, It is proved that time complexity for n-bit trap problem is O(n2mlnn) by max-min ant system (MMAS), which is an ACO with limitations on the pheromone on each edge. Here, n is the size of the problem and m is the number of artificial ants. The experimental results confirm the correctness of the conclusions.
陈崚，孙海鹰. 蚁群算法一阶欺骗性问题的时间复杂度分析[J]. 模式识别与人工智能, 2010, 23(1): 1-6.
CHEN Ling,SUN Hai-Yin. Time Complexity Analysis of Ant Colony Algorithm on First Order Deceptive Problem. , 2010, 23(1): 1-6.
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2010, Vol. 23 
