Global Optimization Method Based on the Statistical Genetic Algorithm for Solving Nonlinear Bilevel Programming Problems

摘要

This paper presents a global optimization method based on the statistical genetic algorithm for solving nonlinear bilevel programming problems. The bilevel programming problem is firstly transformed into a single level problem by applying Karush-Kuhn-Tuck