Multi-Objective Reliability-Based Optimization with Stochastic Metamodels

This paper addresses continuous optimization problems with multiple objectives and parameter uncertainty defined by probability distributions. First, a reliability-based formulation is proposed, defining the nondeterministic Pareto set as the minimal solutions such that user-defined probabilities of...

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Veröffentlicht in:	Evolutionary computation 2011, Vol.19 (4), p.525-560
Hauptverfasser:	Coelho, Rajan Filomeno, Bouillard, Philippe
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Simulation Evolutionary algorithms Mathematical analysis Mathematical models Metamodels Models, Statistical Multi-objective evolutionary optimization Optimization optimization under uncertainty polynomial chaos expansion reliability-based optimization robust optimization stochastic metamodels Stochastic Processes Stochasticity
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