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Optimization Problem Setup

Choose solver, define objective function and constraints, compute in parallel

To represent your optimization problem for solution, you generally follow these steps:

• Choose an optimization solver.

• Create an objective function, typically the function you want to minimize.

• Create constraints, if any.

• Set options, or use the default options.

• Call the appropriate solver.

For a basic nonlinear optimization example, seeSolve a Constrained Nonlinear Problem. For a basic mixed-integer linear programming example, seeMixed-Integer Linear Programming Basics.

Choose a Solver
Choose the most appropriate solver and algorithm
Write Objective Function
Define the function to minimize or maximize, representing your problem
Write Constraints
Provide bounds, linear constraints, and nonlinear constraints
Set Options
Set optimization options
Parallel Computing
Solve constrained nonlinear minimization or multiobjective optimization problems in parallel