A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization

Abstract

An approach for the Mixed Discrete Non-Linear Problems (MDNLP) by Particle Swarm Optimization is proposed. The penalty function to handle the discrete design variables is employed, in which the discrete design variables are treated as the continuous design variables by penalizing at the intervals. By using the penalty function, it is possible to handle all design variables as the continuous design variables. Through typical benchmark problem, the validity of proposed approach for MDNLP is examined.