MathOptSolversCMake

This library includes:

• CMake wrappers for mathematical optimization solvers.
• A mixed-integer linear programming modeler
• A box-constrained nonlinear programming modeler (for Lagrangian relaxations)

The goal of the modelers are:

• Minimize the modeler's overhead
• Run multiple solvers while writing the model's code once and ensuring that the model passed to each solver is the same
• Keep access to all the direct API features of the solvers
• Minimize the quantity of code to integrate a new solver
• Provide some features to help model debugging

They are not designed to be as user-friendly as possible. And switching solver requires a bit more lines of code than changing a string.

Milp modeler examples:

• Multiple-choice knapsack
• Set covering
• Generalized assignment
• Clique, stable
• Knapsack with conflicts
• Graph coloring
• Shop scheduling, positional model, disjunctive model

CMake integration example:

# Fetch fontanf/mathoptsolverscmake.
set(MATHOPTSOLVERSCMAKE_USE_CLP ON)
FetchContent_Declare(
    mathoptsolverscmake
    GIT_REPOSITORY https://github.com/fontanf/mathoptsolverscmake.git
    GIT_TAG ...)
    #SOURCE_DIR "${PROJECT_SOURCE_DIR}/../mathoptsolverscmake/")
FetchContent_MakeAvailable(mathoptsolverscmake)

...

target_link_libraries(MyProject_my_target PUBLIC
    MathOptSolversCMake::clp)