Solve integer and mixed-integer programming problems for discrete optimization decisions such as facility location, project selection, crew scheduling, network design, cutting stock, and capital budgeting.
Optimize a linear objective function subject to linear constraints for resource allocation, diet planning, manufacturing mix, investment planning, and supply chain optimization.
Optimize portfolio allocation to maximize return or minimize risk. Provide assets with expected return, risk, and sector, then set objective, budget, risk tolerance, sector constraints, and solver to compute optimal weights.
Optimize multi-period production planning by balancing product costs, resource constraints, and demand across periods to maximize profit or minimize costs. Accepts inventory and setup costs, with solver options for efficient planning.
Define variables, constraints, and objective to solve mixed-integer programming problems with support for multiple solvers like SCIP, CBC, GUROBI, and CPLEX.