DocumentCode
3573551
Title
Research on the effect of selection of objective function on optimization results
Author
Tiantian Xiao ; Pu Han ; Bo Hong ; Ze Dong
Author_Institution
Dept. of Autom., North China Electr. Power Univ., Baoding, China
fYear
2014
Firstpage
4988
Lastpage
4990
Abstract
In this paper, based on Particle Swarm Optimization (PSO) algorithm to observe the different optimization results by changing the objective function. By comparing indicators of various types of objective function, clearly showing its intuitive respective advantages and disadvantages. Herein we can derived from the comprehensive objective function is a relatively good target function, stability, accuracy and rapidity performance can better meet the requirements of people.
Keywords
control systems; particle swarm optimisation; stability; PSO algorithm; objective function; particle swarm optimization; stability; Control systems; Convergence; Indexes; Linear programming; Optimization; Particle swarm optimization; Power systems; Objective function; Parameter optimization; Particle Swarm Optimization algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7053560
Filename
7053560
Link To Document