Chromatic Aberration plays a part in modern optical systems, especially in digitalized and smart optical systems.
Much effort has been devoted to eliminating specific chromatic aberration in order to match the demand for advanced
digitalized optical products. Basically, the elimination of axial chromatic and lateral color aberration of an optical lens
and system depends on the selection of optical glass. According to reports from glass companies all over the world, the
number of various newly developed optical glasses in the market exceeds three hundred. However, due to the complexity
of a practical optical system, optical designers have so far had difficulty in finding the right solution to eliminate small
axial and lateral chromatic aberration except by the Damped Least Squares (DLS) method, which is limited in so far as
the DLS method has not yet managed to find a better optical system configuration.
In the present research, genetic algorithms are used to replace traditional DLS so as to eliminate axial and lateral
chromatic, by combining the theories of geometric optics in Tessar type lenses and a technique involving Binary/Real
Encoding, Multiple Dynamic Crossover and Random Gene Mutation to find a much better configuration for optical glasses. By implementing the algorithms outlined in this paper, satisfactory results can be achieved in eliminating axial and lateral color aberration.