Handling Uncertainty in Indicator-Based Multiobjective Optimization
نویسندگان
چکیده
منابع مشابه
Handling Uncertainty in Indicator-Based Multiobjective Optimization
Real-world optimization problems are often subject to uncertainties caused by, e.g., missing information in the problem domain or stochastic models. These uncertainties can take different forms in terms of distribution, bounds, and central tendency. In the multiobjective context, some approaches have been proposed to take uncertainties into account within the optimization process. Most of them ...
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Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. These uncertainties can take different forms in terms of distribution, bound and central tendency. In the multiobjective context, several studies have been proposed to take uncertainty into account, and most of them propose an ex...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Research
سال: 2006
ISSN: 0974-1259
DOI: 10.5019/j.ijcir.2006.66