非线性二层规划的一种混合粒子群算法

Particle Swarm Optimization Based Approach to Solving Nonlinear Bilevel Programming Problems

基于扩展的K-T条件和罚函数方法并结合改进的粒子群算法提出一种求解非线性二层规划问题的新算法,数值计算结果表明,该算法能够在较短的时间内得到问题的近似最优解,是一种求解非线性二层规划问题的有效方法.

Based on the expansion of K-T conditions and the penalty function method and improved particle swarm optimization for solving nonlinear bilevel programming of the new algorithms, numerical results show that the algorithm can in a short period of time are most similar to the problem, The solution is an effective methods for solving nonlinear problems.