Ronda M. Potter

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We develop a prototype system for enterprise-wide scheduling optimization in an academic institution. The system is built around a rule-based optimization engine, the Optessa MLS™, that has proved successful in complex scheduling applications in manufacturing. The engine utilizes metaheuristics with sophisticated accelerators for local search. A(More)
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