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Laurent Michel

Laurent Michel is Assistant Professor in the Department of Computer Science and Engineering at the University of Connecticut.

Titles by This Author

The ubiquity of combinatorial optimization problems in our society is illustrated by the novel application areas for optimization technology, which range from supply chain management to sports tournament scheduling. Over the last two decades, constraint programming has emerged as a fundamental methodology to solve a variety of combinatorial problems, and rich constraint programming languages have been developed for expressing and combining constraints and specifying search procedures at a high level of abstraction.

A Modeling Language for Global Optimization