DocumentCode :
2464164
Title :
Robustness Analysis in Multi-Objective Optimization Using a Degree of Robustness Concept
Author :
Barrico, Carlos ; Antunes, Carlos Henggeler
Author_Institution :
Univ. of Beira Interior, Coimbra
fYear :
0
fDate :
0-0 0
Firstpage :
1887
Lastpage :
1892
Abstract :
This paper presents a novel approach to robustness analysis in multi-objective optimization problems. The concept of degree of robustness in incorporated into the evolutionary algorithm, being operationalized in the computation of the fitness value assigned to solutions. Non-dominated solutions are classified according to their degree of robustness. The information on the degree of robustness of solutions is provided to support the decision maker in the selection of a robust compromise solution.
Keywords :
decision making; evolutionary computation; optimisation; robust control; decision maker; evolutionary algorithm; multiobjective optimization; robustness analysis; Acceleration; Degradation; Delta modulation; Evolutionary computation; Informatics; Pareto optimization; Robust control; Robustness; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688537
Filename :
1688537
Link To Document :
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