Automatic generating numerical control rule using genetic-based with 'King strategy' approches
IEEE International Conference on Control Applications, 2005-8-28 ~ 2005-8-31, pp 477-480, 2005
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. A 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.