Pareto Set Selection for Multiobjective Stochastic Simulation Model

This paper addresses the problem of selecting a Pareto set from among finite alternatives, where each alternative has multiple performance measures evaluated by stochastic simulations. Under limited simulation resources, we propose an efficient algorithm for solving this problem based on a statistic...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2020-11, Vol.50 (11), p.4256-4269
Hauptverfasser:	Choi, Seon Han, Kim, Tag Gon
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational modeling Multiobjective optimization Nickel Pareto optimality Performance evaluation ranking and selection (R&S) Resource management Robustness Simulation statistical hypothesis test Stochastic processes stochastic simulation System analysis and design Uncertainty
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