Optimizing parameters in investment formulation of drainage pipe using genetic algorithms

It is difficult to optimize the parameters in investment formulation directly with conventional methods because there are seven parameters in it. With minimizing objective function, the mean square deviation of investment formulation and the parameters are optimized directly by the application of genetic algorithms (GAs). It can overcome the trouble of application of pluri-derivative and high order equations in solving the investment formulation by using global random search theory and applying the objective function information directly in GAs. The methods can reduce the mean square deviation and optimize the parameters of investment formulation effectively. This is a part of optimal design for drainage systems.