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 ...

https://doi.org/10.2307/2582400 • https://www.jstor.org/stable/2582400 Copy URL This paper offers a new approach to the solution of zero-one goal-programming ...