Research on the optimal combination of ACO parameters based on PSO

As ACO´s different value of parameters has impact on its performance. Try to find the optimal combination of parameters can make algorithm have best performance. On the basis of basic model of ACO, we analyzed parameters´ effects on algorithm performance, then proposed “TwoStep” strategy for selecting algorithm parameters: First, determine a reasonable range of each parameter, then introduce fitness function and use PSO to receive optimal combination of parameters. Experiments demonstrate that the proposed strategy can obtain good searching results, which may contribute to the promotion and application of ACO.