This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to\r\napply the ant colony algorithm in the aim of tuning the optimum solution of the PIDcontrollers (Kp, Ki, and Kd) by minimizing the\r\nmultiobjective function. The potential of using multiobjective ant algorithms is to identify the Pareto optimal solution. The other\r\nmethods are applied to make comparisons between a classic approach based on the ââ?¬Å?Ziegler-Nicholsââ?¬Â method and a metaheuristic\r\napproach based on the genetic algorithms. Simulation results demonstrate that the new tuning method using multiobjective ant\r\ncolony optimization has a better control system performance compared with the classic approach and the genetic algorithms
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