A Method for Using Mathematical Optimization to Allocate and Reallocate Geographically Distributed, Reconfigureable Resources with Spatial Considerations and Time Windows

In this report we formulate a model for the scheduling of reconfigurable resources to meet demand over time, with particular consideration for the potential need to reschedule and reconfigure the resources as new demands arise. This is accomplished in the framework of "continual optimization" using dynamic column and constraint generation schemes to accommodate the enormous number of possible variables and constraints.

By: John A. Tomlin, Mary E. Helander, Brenda L. Dietrich, J. P. Fasano, Baruch M. Schieber

Published in: RJ10301 in 2004


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