Genetic learning in fuzzy control

Researchers at the Universities of Alabama and South Australia have developed a technique that utilizes the search capabilities of genetic algorithms to enhance the process control capabilities of fuzzy logic. Genetic algorithms are search algorithms based on the mechanics of natural genetics. Fuzzy logic is a process that affords computers the capability of manipulating abstract concepts commonly used by humans in decision making. Together, genetic algorithms and fuzzy logic possess the qualities needed in adaptive control systems. This chapter describes a process by which genetic algorithms can be used to develop efficient fuzzy controllers.