Solving Mixed Integer Non-Linear Programming Problems by the Evolutionary Programming Based on the Prepotency of Races
Li Li Ren · Acta Simulata Systematica Sinica · 2003
The global optimization of mixed integer non-linear problems (MINLP) constitutes a major area of research in many engineering applications .In this paper, a novel evolutionary programming is proposed as a valid approach to the optimization of mixed integer non-linear problems. On one hand, the method is based on multiple groups and the best individual of very group in the present generation is selected as the ancestor of the next generation. On the other hand, the evolutionary step, the size of the group and the parameter about handling constraint are dynamically altered in the evolutionary process. Computer simulation results show it excels the research fruit of Genetic Algorithm (GA), Evolution Strategic (ES) and Simulated Annealing (SA).