DocumentCode
1806100
Title
Performance evaluation of several multi-objective optimization methods for control purposes
Author
Gambier, Adrian
Author_Institution
Process Control Group, Heidelberg Univ., Mannheim, Germany
fYear
2011
fDate
15-18 May 2011
Firstpage
1067
Lastpage
1071
Abstract
The design of sophisticated control systems have led in the past ten years to the necessity of satisfying more than one design criterion. Thus, it is natural to think that those criteria can be met in an optimal manner. If several criteria have simultaneously to be optimized, one is in presence of a Multi-Objective Optimization problem. However, the search process of an optimum requires a very high computation burden and the convergence can be very slow. In this paper, the most popular Pareto methods are compared by solving a parametric MOO problem of controller design.
Keywords
control system synthesis; optimisation; Pareto methods; controller design; multiobjective optimization methods; parametric MOO problem; performance evaluation; search process; Algorithm design and analysis; Control systems; Decision making; Evolutionary computation; Genetic algorithms; Optimization; Polynomials; benchmark; control system design; multiobjective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ASCC), 2011 8th Asian
Conference_Location
Kaohsiung
Print_ISBN
978-1-61284-487-9
Electronic_ISBN
978-89-956056-4-6
Type
conf
Filename
5899220
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