Modified Differential Evolution Algorithm of Constrained Nonlinear Mixed Integer Programming Problems

摘要

A modified differential evolution algorithm of constrained nonlinear mixed integer programming problems is given. In this algorithm, the positions of the variation particles are self-adaptively adjusted so that the particles evolve in better direction and the feasible basis rule and the dynamic constraint handling technology are added to improve particles?optimization ability. Numerical results show that the proposed algorithm is of high precision and stability.