Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
نویسندگان
چکیده
منابع مشابه
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
Multi-objective optimization algorithms aim at finding Pareto-optimal solutions. Recovering Pareto fronts or Pareto sets from a limited number of function evaluations are challenging problems. A popular approach in the case of expensive-to-evaluate functions is to appeal to metamodels. Kriging has been shown efficient as a base for sequential multi-objective optimization, notably through infill...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2015
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2014.07.032