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C++ examples

examples/cpp/README.md

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C++ examples

The following examples showcase how to use the different Operations Research libraries.

Examples list

  • Constraint Solver examples:

    • cryptarithm.cc Demonstrates the use of basic modeling objects (integer variables, arithmetic constraints and expressions, simple search).
    • golomb.cc Demonstrates how to handle objective functions and collect solutions found during the search.
    • magic_square.cc Shows how to use the automatic search to solve your problem.
    • costas_array.cc Solves the problem of Costas Array (a constrained assignment problem used for radars) with two version. On version is a feasibility version with hard constraints, the other version is an optimization version with soft constraints and violation costs.
    • jobshop.cc Demonstrates scheduling of jobs on different machines.
    • nqueens.cc Solves the n-queen problem. It also demonstrates how to break symmetries during search.
    • network_routing_sat.cc Solves a multicommodity mono-routing problem with capacity constraints and a max usage cost structure.
    • sports_scheduling_sat.cc Finds a soccer championship schedule. Its uses an original approach where all constraints attached to either one team, or one week are regrouped into one global 'AllowedAssignment' constraints.
    • dobble_ls.cc Shows how to write Local Search operators and Local Search filters in a context of an assignment/partitioning problem. It also shows how to write a simple constraint.

  • Routing examples:

    • cvrptw.cc Capacitated Vehicle Routing Problem with Time Windows.
    • pdptw.cc Pickup and Delivery Problem with Time Windows.

  • Graph examples:

    • flow_api.cc Demonstrates how to use Min-Cost Flow and Max-Flow api.
    • linear_assignment_api.cc Demonstrates how to use the Linear Sum Assignment solver.
    • dimacs_assignment.cc Solves DIMACS challenge on assignment problems.

  • Linear and integer programming examples:

    • linear_programming.cc Demonstrates how to use the linear solver wrapper API to solve Linear Programming problems.
    • integer_programming.cc Demonstrates how to use the linear solver wrapper API to solve Integer Programming problems.
    • linear_solver_protocol_buffers.cc Demonstrates how protocol buffers can be used as input and output to the linear solver wrapper.
    • strawberry_fields_with_column_generation.cc Complex example that demonstrates how to use dynamic column generation to solve a 2D covering problem.

Execution

Running the examples will involve building them, then running them.

You can run the following command from the top directory:

shell
make build SOURCE=examples/cpp/<example>.cc
make run SOURCE=examples/cpp/<example>.cc