A Study on Normalization in Constraint Handling Techniques Based on Decomposition for Constrained Optimization

Abstract

This letter proposes a normalization method in decomposition-based constraint handling techniques for constrained optimization. The proposed normalization method has robustness against scale differences between the objective function and constraint violation while the conventional method loses it. Numerical experiments confirm that the proposed normalization method has better search performance than other methods.