A Genetic Algorithm and Particle Swarm Optimization Approach for Lower Order Modelling of Linear Time Invariant Discrete Systems

Author

Sivanandam, S.N. ; Deepa, S.N.

Author_Institution

PSG Coll. of Technol., Coimbatore

Volume

1

fYear

2007

fDate

13-15 Dec. 2007

Firstpage

443

Lastpage

447

Abstract

In recent years evolutionary computation has its growth to extent. Amidst various evolutionary computation approaches, genetic algorithms and particle swarm optimisation are used in optimisation problems. The two approaches find a solution to a given objective function employing different procedures and computational techniques; as a result their performance can be evaluated and compared. The problem area chosen is that of lower order system modelling used in control systems engineering. Integral square error is used as an indicator for selecting the lower order model.

Keywords

discrete systems; genetic algorithms; linear systems; mean square error methods; particle swarm optimisation; control systems engineering; evolutionary computation; genetic algorithm; integral square error; linear time invariant discrete systems; lower order modelling; lower order system modelling; objective function; particle swarm optimization; Biological cells; Computer science; Control system synthesis; Educational institutions; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Particle swarm optimization; Polynomials;

fLanguage

English

Publisher

ieee

Conference_Titel

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on

Conference_Location

Sivakasi, Tamil Nadu

Print_ISBN

0-7695-3050-8

Type

conf

DOI

10.1109/ICCIMA.2007.41

Filename

4426619