It has obtained a better result to use ant colony algorithm to solve complex combinatorial optimization problems, but different value of the parameters in ant colony algorithm affects the performance of the algorithm. This paper studies the configuration of parameters in ant colony algorithm, and analyses the impact of the key parameters of the algorithm, and obtains the optimal parameter combination of using ant colony algorithm to solve TSP problems by using EIL51TSP data to simulate.
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Yan Rong Cui (2014) studied this question.
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