Abstract
Ant Colony Algorithm is a kind of new heuristic biological modeling method which has the ability of parallel processing and global searching. By use of the properties of Ant Colony Algorithm and Genetic Algorithm, the hybrid algorithm which adopts Genetic Algorithm to distribute the original pheromone is proposed to solve the continuous optimization problem. Several solutions are obtained using the Ant Colony Algorithm through pheromone accumulation and renewal. Finally, by using crossover and mutation operation of Genetic Algorithm, some effective solutions are obtained. The results of experiments show better performances of the new algorithm based on six continuous test functions compared with the methods available in literature.