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Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
Moreover, this paper designs an optimization proxy that addresses the computational challenges of the optimization model.
Two-Stage Learning For the Flexible Job Shop Scheduling Problem
The Flexible Job-shop Scheduling Problem (FJSP) is an important combinatorial optimization problem that arises in manufacturing and service settings.
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