An Adaptive Ant Colony Optimization Algorithm and Simulation

Ant Colony Optimization (ACO) algorithm is a new optimization algorithm, and has the limitation of stagnation. In this paper, the performance of ACO is improved by the adaptive variation of the parameter in the algorithm. The simulations for TSP problem show that the improved algorithm can find better paths at higher convergence speed.