Title :
Noncooperative two-level nonlinear programming through strategic oscillation based on PSO and clustering
Author :
Imaji, Hiromu ; Katagiri, Hideki ; Kato, Kazuhiko
Author_Institution :
Dept. of Syst. Cybern., Hiroshima Univ., Higashi-Hiroshima, Japan
Abstract :
In this paper, we consider a computational method of Stackelberg solutions for noncooperative two-level nonlinear programming problems (TLNLPPs) which contain two decision makers with different priorities. For the purpose of deriving (approximate) Stackelberg solutions to TLNLPPs efficiently, we propose a solution method based on particle swarm optimization and clustering using strategic oscillation.
Keywords :
game theory; nonlinear programming; particle swarm optimisation; pattern clustering; PSO; Stackelberg solution; TLNLPP; noncooperative two-level nonlinear programming; particle swarm optimization; pattern clustering; strategic oscillation; Linear programming; Oscillators; Particle swarm optimization; Programming; Search problems; Sociology; Vectors; Stackelberg solution; clustering; particle swarm optimization; strategic oscillation; two-level nonlinear programming;
Conference_Titel :
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4799-4771-3
DOI :
10.1109/IWCIA.2014.6988096
