New Computational Model from Ant Colony

Abstract

The computational model from life system has become a main intelligent algorithm. Ant colony algorithm is a new computational model from mimic the swarm intelligence of ant colony behavior. And it is a very good combination optimization method. To extend the ant colony algorithm, some continuous ant colony algorithms have been proposed. To improve the searching performance, the principles of evolutionary algorithm and immune system have been combined with the typical continuous ant colony algorithm, and one new computational model is proposed here. In this new model, the ant individual is transformed by adaptive Cauchi mutation and thickness selection. To verify the new computational model, the typical functions, such as Schaffer function is used. And then, the results of new algorithm are compared with that of ant colony algorithm and immunized evolutionary programming which is proposed by author. The results show that, the convergent speed and computing precision of new algorithm are all very good.