Design Of Antenna Matching Networks By Genetic Algorithms

This thesis is divided into two parts: The first part is how to conjecture the impedance and objective functions by real frequency method. The second part is solving the functions by using genetic algorithms (GA). A new method with high intelligence -GAINT modal is proposed, which is based on non-selection niche technique. According as the examples and the solution of the actual problem, the result shows that the GAINT method has the more powerful evolution capability to solve the global optimization problems and converges more quickly, comparing with the traditional global optimization.