Ant Colony Optimization Algorithm Based on Scent Inducement and Route Classification for the Optimal Path Problems

Ant Colony Optimization(ACO) had not a well efficiency and ignored the traffic jam which was a serious problem in the real traffic,so it was hard to obtain a good solution.Therefore,a highly efficient ACO was proposed.First,the destination emitted fragrance information which could attract ants close to the destination and make the search of ants have directivity;Second,the route in road networks was classified,and dynamic classification strategy was combined to avoid the shortcoming such as stagnation.Result shows that this algorithm is better than ACO algorithm in the stability and quality of optimum solution.