Dynaflip++: a Knowledge Interpreter That Matches Dynamic Domain Knowledge with Static Fuzzy Constraints
نویسنده
چکیده
Fuzzy constraints must be ne-tuned for a certain task. However, such ne-tuning cannot be done for all possible instantiations of a problem, and thus is generally done on protypical constraints. These templates are applied during run-time to a certain actual situation, i.e., dynamically adapted and applied only where necessary. This paper describes issues arising from the existance of such dynamic constraints and how they are handled in the FLIP++ optimization libraries. Examples from a steelmaking scheduling application are given.
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