Investigation on Evolutionary Computation Techniques of a Nonlinear System
Author
Source
Modelling and Simulation in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-29
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system.
A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process.
Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation.
The results show that EAs are used successfully in the process optimization.
American Psychological Association (APA)
Dao, Tran Trong. 2011. Investigation on Evolutionary Computation Techniques of a Nonlinear System. Modelling and Simulation in Engineering،Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-476331
Modern Language Association (MLA)
Dao, Tran Trong. Investigation on Evolutionary Computation Techniques of a Nonlinear System. Modelling and Simulation in Engineering No. 2011 (2011), pp.1-21.
https://search.emarefa.net/detail/BIM-476331
American Medical Association (AMA)
Dao, Tran Trong. Investigation on Evolutionary Computation Techniques of a Nonlinear System. Modelling and Simulation in Engineering. 2011. Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-476331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476331