OPTIMIZATION OF FUZZY RULE BASES USING CONTINUOUS ANT COLONY SYSTEM
Hadi Nobahari, Seid Hossein Pourtakdoust · 2005
The well-known Ant Colony Optimization method is applied to the problem of tuning the parameters of a Takagi-Sugeno fuzzy rule base. The latest developed Continuous Ant Colony System algorithm is used to find the global solution of the continuous optimization problem. The method is systematically tested for the approximation of one analytical test function and the performance of the proposed scheme is compared with the Standard Genetic Algorithm.