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» Modeling GA Performance for Control Parameter Optimization
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ENGL
2007
177views more  ENGL 2007»
14 years 9 months ago
Design of a Genetic-Algorithm-Based Steam Temperature Controller in Thermal Power Plants
Abstract—This paper presents a systematic approach for the design of temperature controller using genetic algorithms (GAs) for thermal power plant subsystems and investigates the...
Ali Reza Mehrabian, Morteza Mohammad-Zaheri
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 1 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 2 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 27 days ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
14 years 10 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...