NDLI: Stability and optimality in genetic algorithm controllers

Content Provider	IEEE Xplore Digital Library
Author	Marra, M.A. Walcott, B.L.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA (Marra, M.A.)
Abstract	Genetic algorithms are stochastic search techniques that guide a population of solutions towards an optimum using the principles of evolution and natural genetics. In recent years, genetic algorithms have become a popular optimization tool for many areas of research, including the field of system control and control design. Significant research exists concerning genetic algorithms for control design and off-line controller analyses. However, little work has been done with on-line genetic algorithm controls primarily because of the problems associated with instability in early stages of the controller's evolution. Also, until recently the stability of controllers based on genetic algorithms has not been researched in detail. This study presents a method of adaptive system control based on genetic algorithms. The method consists of a population of controllers evolving towards an optimum controller through the use of probabilistic genetic operators. The scope of the research encompasses an analysis of the stability and optimality of the resulting control system with respect to the convergence of the genetic algorithm.
Starting Page	492
Ending Page	496
File Size	565488
Page Count	5
File Format	PDF
ISBN	0780329783
ISSN	21589860
DOI	10.1109/ISIC.1996.556250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-09-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability Genetic algorithms Optimal control Control systems Control design Algorithm design and analysis Stochastic processes Design optimization Adaptive systems Programmable control
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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