This is a nice example of using HiGHS via vcpkg. The C++ wrapper is somewhat cute, but I honestly don't recommend using it. At some point I'll update this repo with a completely different API idea that I've been playing with, which is significantly more efficient - yet quite user friendly.
This project is a prototype C++ wrapper around the HiGHS optimization solver. It attempts to provide a user-friendly interface to HiGHS, making it easier for developers to integrate the solver into their C++ projects. It is nowhere near feature complete, but I think it has potential.
To use the C++ wrapper, simply add it to your project. You'll need HiGHS, which you can easily get via vcpkg. To build the example you'll need:
- cmake
- vcpkg
To build the example, follow these steps:
- Clone the repository: git clone https://github.com/mathgeekcoder/highs-api/repo.git
- Navigate to the repository directory: cd repo
- Generate the build files:
cmake --preset <linux-release, linux-clang-12, windows-release> - Build the project:
cmake --build out/build/<preset>
To use the HiGHS C++ wrapper, include the optimization_model.h header file in your C++ code. You can then use the OptimizationModel class to create an instance of the HiGHS solver and solve optimization problems.
Here is an example usage:
#include "optimization_model.h"
int main() {
// Create a HiGHS model instance
OptimizationModel m;
// Add variables
auto x0 = m.addVar(0, 4);
auto x1 = m.addVar(1, 7);
// Add constraints
m.addConstr(x0 + 2*x1 >= 5);
m.addConstr(x0 + 2*x1 <= 15);
m.addConstr( 6 <= 3*x0 + 2*x1); // i.e., variables can be on either side of inequality.
// Solve the optimization problem
m.minimize(x0 + x1 + 3);
// Get the solution
auto x = m.getSolution();
// Print the solution
std::cout << "Solution: ";
for (auto i : x.col_value) {
std::cout << i << " ";
}
std::cout << std::endl;
return 0;
}If you would like to contribute to this project, please let me know.
This project is licensed under the MIT License - see the LICENSE file for details.