Automatic generating numerical control rule using genetic-based with ´king strategy´ approches

A method is proposed to automatically extract numerical control rules from the sensor data without the help of experts by means of a genetic algorithms(GA), which add a `King strategy´ to crossover operator of the standard GA in order to reduce the blindness of GA search processes and raise the convergence speed. Every generated numerical rule is accumulated in a control table called a numerical rule-based controller. An illustrative experiment are successfully made on the computer simulation. The experimental results reveal that the proposed approach is more efficient and more effective than random strategy´ of basic GA to design a fuzzy system