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Parameter identification problem: Real-coded GA approach

delete2007-04-01
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PRE
AI
M
Mostafa A. Khalik
M
Mohamed H. Sherif
S
Sabry F. Saraya
F
F. Areed
DOI:10.1016/j.amc.2006.09.102delete
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Abstract

Abstract

En 中文
Parameter identification problem will be presented, and solved through our new real-coded genetic Algorithm. The algorithm is a modified version from normal GA but it includes biased initialization, dynamic parameters, and elitism. The algorithm will be tested on three cases. (c) 2006 Elsevier Inc. All rights reserved.
Keywords:
continuous stirred tank reactor CSTR
dynamic parameter setting
genetic algorithms
modeling
parameter identification
real-coded genetic algorithm

Journal

Applied Mathematics and Computation cover
Applied Mathematics and Computation
IF:
3.4
Papers:
2.3W
Citations:
3.3W

Organization

No organization information available
Cited Papers

Cited Papers

Parameter control in evolutionary algorithms
err1999-07-01
err1.3K
errOAAI
errEiben, AE; Hinterding, R; Michalewicz, Z
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