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This article presents a dynamic programming algorithm for scheduling, on a single machine, production of multiple items with time-varying deterministic demands. We formulate the scheduling problem ...
Research from all publishers Recent studies have made significant strides in applying optimised machine learning methods and physics-informed frameworks for dynamic load identification.
The paper develops a model of investment and pricing in a port system, using dynamic programming technique. The objective function used is the minimisation of the present value of investment costs ...
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