Title :
Performance evaluation of several multi-objective optimization methods for control purposes
Author_Institution :
Process Control Group, Heidelberg Univ., Mannheim, Germany
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;
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
