Fuzzy Rules Of Self-learning Technology, Applied Research, The Fuzzy Adaptive Genetic Algorithm Design

This paper is oriented toward applying Fuzzy Adaptive Genetic Algorithms (FAGA) to solve the Traveling Salesman Problem (TSP). Two new FAGAs, a Self-learning Mixed FAGA and a Neuro FAGA, is studied in the paper. The two FAGAs differ from the common FAGAs in that they utilize self-learning mechanisms based on a Simple Genetic Algorithm and a CMAC network respectively to generate the fuzzy rule bases serving the algorithms. The two FAGAs are implemented under MATALAB 6.5 and applied to solve TSP for comparison with the SGA solution. And the comparison tests have preliminarily proved the effectiveness of them.