Evolutionary programming for mix design

An evolution method for the solution of a mix design problem is proposed. It is an application of genetic algorithms in which the ratio of ingredients have evolved. In this paper, the evolution algorithm, new crossover methods and mutation schemes are introduced. The usual crossover operation was not used, instead one field of a superior chromosome was copied to an inferior chromosome. A mutation was generated by a combination of uniform random number and normal distribution random number and the mutation rate was very high (1/2). This approach can be applied to non-linear optimization problems. The method has been successfully applied to the actual mix problem.