Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20414
Title: Qualitative system identification with the use of on-line genetic algorithms
Authors: Lo, CH
Chow, KM
Wong, YK
Rad, AB
Keywords: Genetic algorithms
Model identification
Qualitative models
Issue Date: 2001
Publisher: Elsevier Science Bv
Source: Simulation practice and theory, 2001, v. 8, no. 6-7, p. 415-431 How to cite?
Journal: Simulation Practice and Theory 
Abstract: The major problem in building qualitative models via on-line qualitative system identification is how to filter the spurious constraints that are generated from the qualitative reasoning technique. This paper proposes a solution to this problem by an integration of genetic algorithms (GA) and qualitative reasoning. The paper will demonstrate the use of qualitative reasoning to partition the input quantity space into different subsystems, and implementation of GAs to filter and optimize the predicted constraints. The proposed method is verified by simulated examples that suggest the algorithm converges to the optimal point with high speed.
URI: http://hdl.handle.net/10397/20414
ISSN: 0928-4869
DOI: 10.1016/S0928-4869(01)00026-X
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