Ant colony algorithm based on mind evolution
基于思维进化的蚁群算法

The basic ant colony algorithm is easy to fall in local peak. In order to overcome this shortcoming resulting in the precocity and stagnation, a new kind of ant colony algorithm based on mind evolution was proposed. The detailed realization of the method was illustrated and some examples of the traveling salesman problem were computed. Simulation results prove that the new algorithm is effective and feasible.