Application of crossover mutation ant colony algorithm in emergency logistics vehicle routing problem

Ant colony algorithm is a kind of novel simulation-biological evolution algorithm. An improved ant colony algorithm was utilized to solve the vehicle routing problem in emergency logistics. Genetic algorithm was utilized to optimize the parameters of ant colony algorithm. The algorithm possesses some characteristics such as strong total researching ability. The experimental results show that the improved ant colony algorithm possesses better optimization quantity and effect than the traditional ant colony algorithm.