Mathematical Modeling

Learn how to convert business opportunities into optimization models. This section provides support for designing mathematical models that produce the best solutions to solve problems and maximize opportunities in your business or organization.

• Adapt Solve Procedure with Callbacks for GMP
• Color a Map with Constraint Programming
• Use Constraint Programming to Solve ROGO Puzzle
• Optimize Shift Schedules
• Reduce the Time Window for Scheduling Jobs
• Optimize Scheduling for Project Planning
• Use a Multi-Objective Approach
• Minimize Objective Containing a min Operator
• Model Variables with Limited Values
• Various (Integer) Linear Modeling Tricks
• Model a Rounded Variable
• Debug an Infeasible Model
• Speed Up MIP Solve
• Providing an Initial Solution to MIP Solvers
• Data for Optimization Libaries
• Nonlinear Presolve Algorithm in AIMMS
• AIMMS Outer Approximation Algorithm for MINLP (using GMP functionality)
• Solving convex MINLP problems with AIMMS
• Vehicle Routing