This article proposes a fuzzy cerebellar Ski de fond - Equipement - Batons model articulation controller with reinforcement-strategy-based modified bacterial foraging optimization for solving the cart-pole balancing control problem.The proposed reinforcement-strategy-based modified bacterial foraging optimization is used to adjust the parameters of fuzzy receptive field functions and fuzzy weights for improving the accuracy of the fuzzy cerebellar model articulation controller output.An efficient strategic approach is applied in the chemotaxis step in the traditional bacterial foraging optimization algorithm.
In the approach, each virtual bacterium swims for different run lengths and increases the bacterial diversity.Experimental results are presented to show the performance and effectiveness of the proposed reinforcement-strategy-based modified Course a pied - Femme - Sous-vetements - Brief bacterial foraging optimization method.