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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053560
