DocumentCode
461693
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
Volume
3
fYear
2006
fDate
16-20 Nov. 2006
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345738
Filename
4129231
Link To Document