A Mixed Ant Colony Algorithm for Function Optimization

The genetic algorithm is combined with the cooperated model of ant colony algorithm.The crossover, mutation and selection operator are propose d to improve the basic ant colony algorithm. The limitation that the algorithm doesn’t fit to solve continuous space optimization is overcome. The tested function shows that the method has the better convergence speed and the stability, the solution is better than genetic algorithm’s.