Antlion-Facing Ant Colony Optimization in Parameter Identification of the MR Damper as a Semi-active Control Device

A collaborative optimization methodology is proposed for estimating the parameters of magnetorheological (MR) dampers in structural control systems. By integrating the characteristics of antlions and ant colonies, this method aims to improve the estimation process through teamwork. Ants and antlions communicate and work together to find the optimum solution. Cooperative communication and information exchange between ants and antlions are established. Ants share pheromone information and discover paths with the antlions, guiding their pit-building strategies and decision-making. Antlions, in turn, share their findings, such as successful traps or promising regions, with the ants. This collaboration creates a symbiotic relationship, benefiting from each other's discoveries and optimizations. The collaborative nature of the algorithm enhances exploration and exploitation of the solution space and improves estimation accuracy and convergence speed. The efficiency of the algorithm is shown using experimental simulations and comparative analysis. The results showcase its superiority in accurately estimating the parameters of MR dampers, thereby enhancing the performance of structural control systems.