New continuous Ant Colony Algorithm

Ant Colony Algorithm is a very good combination optimization method from mimic the swarm intelligence of ant colony behaviours. To extend the traditional Ant Colony Algorithm to continuous optimization problems, from the connections of continuous optimization and searching process of Ant Colony Algorithm, here one new Continuous Ant Colony Algorithm is proposed. To verify the new algorithm, the typical functions, such as Schaffer function and Percy function, are all used. And then, the results of new Continuous Ant Colony Algorithm are compared with that of traditional Continuous Ant Colony Algorithm and immunized evolutionary programming proposed by author. The results show that, the convergent speed and computing precision of the new algorithm are all very good.