Nonlinear mixed integer programming problems using genetic algorithm and penalty function

We propose a method for solving nonlinear mixed integer programming (NMIP) problems using genetic algorithms (GAs) and a penalty function method. The penalty function method was used to construct a fitness function to evaluate chromosomes generated from genetic reproduction. Therefore, the mean of s... View More