Title :
An Improved Particle Swarm Optimization Algorithm for MINLP Problems
Author :
Jian, Xu ; Zhao, Liu
Author_Institution :
Dept. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
This paper, to solve the MINLP (mixed integer nonlinear programming) problems, presents an improved algorithm of PSO (particle swarm optimization). The main contribution of the improved algorithm includes: new migration strategy was proposed and the velocity update strategy was replaced by a new one. Experiments show that the new algorithm has better results and more effective than others.
Keywords :
integer programming; nonlinear programming; particle swarm optimisation; MINLP problems; migration strategy; mixed integer nonlinear programming; particle swarm optimization algorithm; Computer science; Costs; Educational institutions; Electronic mail; Evolutionary computation; Flowcharts; Intelligent systems; Lab-on-a-chip; Military computing; Particle swarm optimization; EC; MINLP; PSO;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.115
