Accelerating multi-objective control system design using a neuro-genetic approach

Designing control systems using multiobjective genetic algorithms can lead to a substantial computational load as a result of the repeated evaluation of the multiple objectives and the population-based nature of the search. Here, a neural network approach, based on radial basis functions, is introdu...

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Bibliographic Details
Main Author: Duarte, N. M. (author)
Other Authors: Ruano, Antonio (author), Fonseca, C. M. (author), Fleming, P. J. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Mmultiobjective optimisation
Genetic algorithms
Computer-aided control system design
Online Access:http://hdl.handle.net/10400.1/2162
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2162

Internet

http://hdl.handle.net/10400.1/2162

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