Many-objective Evolutionary Approaches to Optimization under Scenario-based Uncertainty
Proje Özeti:
Parameters of mathematical programming models developed for OR/MS problems can hardly be conjectured accurately or they may fluctuate widely during the time span of their influence, thus approaches concerning with uncertainty come into a great importance. One way of modeling uncertainty is the scenario approach in which only a finite number of sampled instances of uncertainty are considered. Scenario-based uncertainty is usually handled by either stochastic optimization or robust optimization methods
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