| Summary: | 碩士 === 國立交通大學 === 電信研究所 === 85 === Genetic algorithms (GA) have been widely applied to a lot
of fields such as artificial intelligence, circuit synthesis
and optimization as design tools and problem solvers because of
theisr global versatility and ablity to optimize in complex
multimodal search spaces. We adopt the concept of GA and program
new filter design tools with the application of the 3-D full
wave EM simulator as the simulation engine. To validate that GA
could be used to solve the traditional optimization problems and
the most characteristics it owns is superior than traditional
methods, we design two different usgae of GA respectively: (1)
For the optimization of continuous variables. We take the
geometry parameters of the bandstop filter structure as the
variables and the centerfrequency is shifted from 15 GHz to 13
GHz successfully under our specifications.This illustrates that
the concept of GA could be implemented as the traditional
optimizer to find the best design. (2) For the optimization of
discrete variables. We take the existence of unit patches, which
are gridded from the region needed to be optimized, as the
optimization variables. We specify that the |S21| of the open
stub is less than 0.3 at 6 GHz. From the intermediate results,
we find a simple rule between the best design of the generation.
We discover the phenomena corresponding to the results of
physical explnation. Theconclusion is made to explain that
state-of-the-art optimization application of GA could also be
demonstrated as the evolution of real world creatures.
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