THE APPLICATION OF REAL NUMBERS CODE FOR GENETIC ALGORITHMS
Applied Into Design Membership Function in Fuzzy Logic Control System for Plastic Extruder
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This book investigates the use of Genetic Algorithms (GA) to design and implement of Fuzzy Logic Controllers (FLC). A fuzzy logic is fully defined by its membership function. What is the best to determine the membership function is the first question that has be tackled. Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function generated by human operator, the membership function selection process is done with trial and error and it runs step by step which is too long in solving the underlined t...
This book investigates the use of Genetic Algorithms (GA) to design and implement of Fuzzy Logic Controllers (FLC). A fuzzy logic is fully defined by its membership function. What is the best to determine the membership function is the first question that has be tackled. Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function generated by human operator, the membership function selection process is done with trial and error and it runs step by step which is too long in solving the underlined the problem. This book proposes a method that may help users to determine the membership function of FLC using the technique of GA optimization for the fastest processing in solving the problems. This book discusses several matters which become important factors that influence performance of GA, and also discusses concepts of plastic extruder, closed loop control system, fuzzy logic control, genetic algorithms and MATLAB. You may discuss about this book at: http://ai-softcomp.blogspot.com
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