On Statistical Models Based Multi-objective Optimization
نویسنده
چکیده
Optimization problems with “expensive” and “black box” objectives are difficult to tackle. Some experience is accumulated in single-objective global optimization of those problems using algorithms based on statistical models of objective functions. The generalization of this approach to the multi-objective optimization is discussed.
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