Optimization of Enterprises Modeled by Rules
نویسندگان
چکیده
We develop a rule-based optimization approach. The rules are IF-THEN statements that allow domain experts to model their complex systems in a natural framework. We formalize the enterprise problem as minimizing multi-criteria objectives with respect to a set of business rules. We construct a finite state machine in which the rules correspond to state transitions. The states are evaluated by an output function under multiple objectives. The Pareto efficient frontier of states are called desired states. An optimization algorithm that identifies the Pareto optimal states is explored. We illustrate our methodology on a scheduling example.
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