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Constraint programming is a success story for artificial intelligence. It quickly moved from research laboratories to industrial applications and is in daily use to solve complex optimization throughout the world. At the same time, constraint programming continued to evolve, addressing new needs and opportunities. This talk reviews some recent progress in constraint programming, including its hybridization with other optimization approaches, the quest for more autonomous search, and its applications in a variety of nontraditional areas.
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