Abstract
M.Ing.
This thesis investigates how genetic algorithms may be applied to solving for flyback
converter design optimization.
The genetic algorithm finds the combinations of components and switching frequency
required for a capable, efficient and small fly-back solution.
Ways of effectively evaluating the proposed solutions are discussed in light of
the circuit theories of power electronics, and specifically, fly-back converters.
Applying component data effectively to the evaluation process is addressed,
especially in the light of the optimization goals.
A solution evolved by a genetic algorithm is tested and compared against a
prototype designed through conventional methods.