To optimize a piecewise linear function in Gurobi using C#, you can use the Mixed-Integer Linear Programming (MILP) formulation. The idea behind MILP is to replace the non-linearities with linear constraints and binary variables.
Here is an example code that shows how to use MILP to optimize a piecewise linear function:
main.cs2334 chars71 lines
In this example, we have considered a piecewise linear function with four segments. The breakpoints of the function are represented by binary variables z[i]
(with i
ranging from 0 to K-1). The constraints ensure that only one of these binary variables can be 1 at a time, which means that only one segment of the function is active at any given point.
The optimization problem is to minimize the sum of the x
and y
variables subject to the piecewise linear function and the other constraints.
Before running this code, you need to download and install the Gurobi optimizer and add a reference to the Gurobi C# interop assembly (gurobi90.dll
).
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