SUMMARY
The generalized lambda distribution, GLD is a four-parameter familythat has been used for fitting distributions to a wide variety of data sets. Minimizationthrough traditional calculus-based methods has been implementedwith relative success, but due to computational and theoretical shortcomings ofthose methods, the moment space has been limited. This paper solve those troublesby using Genetic Algorithms (search algorithms based on the mechanicsof natural selection and natural genetics) applied to the methods of moments.Examples of better solutions than the ones find out with traditional calculusbasedmethods are included.