@inproceedings{618cec38f4274c8a95fff83c850878e3,
title = "Regulator design using a multiobjective genetic algorithm",
abstract = "When designing a regulator for a specific system, a set of different objectives needs to be evaluated. This is usually done by manual tuning of parameters and evaluation of the step response. In recent years gradient-based multiobjective constraint optimization methods have been successfully applied on this problem while, in this report, a multiobjective genetic algorithm approach is applied. By defining a set of cost-functions in the frequency-domain for different frequency intervals, PID regulator settings for two bench-mark models are identified and successfully evaluated.",
keywords = "Genetic algorithms, Multiobjective optimizations, Regulator design",
author = "Fredrik {\"O}stman and Frank Pettersson and Toivonen, {Hannu T.}",
year = "2009",
doi = "10.3182/20090506-3-sf-4003.00020",
language = "English",
isbn = "9783902661425",
series = "IFAC Proceedings Volumes",
publisher = "IFAC Secretariat",
number = "2",
pages = "108--113",
booktitle = "14th IFAC Workshop on Control Applications of Optimization",
}