Exact(6)
Traditionally, capacity decisions are either ignored or modeled as a selection among discrete capacity levels.
This Discrete Capacity Assignment (DCA) problem can be classified as a constrained combinatorial optimization problem.
It alternatively considers capacity levels that allow for leaving the discrete capacity planning completely to the model.
In this mixed-integer linear programming (MILP) model, integer variables are utilized to determine the discrete capacity of reactors.
However, with respect to discrete capacity planning modeled by capacity levels in literature, existing approaches do not consider the (monetary) investment or disinvestment consequences that arise from the change of capacity levels in subsequent time periods.
We present a scenario decomposition framework based on Lagrangean decomposition for the multi-product, multi-period, supply investment planning problem considering network design and discrete capacity expansion under demand uncertainty.
Similar(54)
In coordination meetings, scores of agencies, each with discrete capacities and mandates, are often represented (10, 11).
Different souls can possess only a selection of the capacities associated with soul, and so in a sense, there is a construction of a specific soul's total capacity out of many discrete capacities and powers.
Figure 10 shows the Pareto front of the multi-objective optimization problem for discrete DG capacity settings over non-discrete DG capacity setting with both fixed and variable cost.
Basically, the Pareto front for the problem with discrete DG capacity settings does not show a clear difference from that with non-discrete DG capacity setting.
Optimization of power loss and cost by the installation of 3 DGs considering discrete DG capacity.
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