Constraints are placed on the level of annual negative deviations in a MOTAD-type firm risk model. Through such arbitrary limits the model selects activities to limit disaster occurrences for each and ...
Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...
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