The chaotic ant swarm algorithm is proposed to avoid trapping into a local optimum.
The organization variables update strategy makes full use of advantages of the chaotic search.
The structure evolution strategy is developed to handle integer variables optimization.
Overall three cases taken form the literatures are investigated with better optima.