Title :
A Novel Method for Solving Nonlinear Bilevel Programming Based on hybrid Particle Swarm Optimization
Author :
Pei, Zhenkui ; Tian, ShengFeng ; Huang, Houkuan
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing
Abstract :
Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced, as it is easily understand and realized. For nonlinear bilevel programming whose leader is a nonlinear function, a hybrid PSO algorithm with a simplex algorithm is presented. So far using PSO to solve the nonlinear bilevel programming problem has not been found in the literature. Some numerical examples are given to verify the effectiveness of proposed approach.
Keywords :
nonlinear functions; nonlinear programming; particle swarm optimisation; hybrid particle swarm optimization; nonlinear bilevel programming; nonlinear function; Birds; Convergence; Educational institutions; Evolutionary computation; Information technology; Linear programming; Mathematical programming; NP-hard problem; Particle swarm optimization; Petroleum;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345738