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Mathematical Modeling with Optimization, Part 3: Problem-Based Mixed-Integer Linear Programming

From the series: Mathematical Modeling with Optimization

Alan Weiss, MathWorks

See the steps of a problem-based approach for modeling and solving a steel blending problem. A variety of raw material may be purchased, but some are only available in fixed quantities. This restriction results in a model that is a mixed-integer linear program. Use Optimization Toolbox™ to interactively define the optimization problem, optimization variables, and constraints. Review the problem after each addition using the problem, variable, and constraint display functions. Solve the problem and display the results.

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Express and solve a nonlinear optimization problem with the problem-based approach of Optimization Toolbox. Use nonlinear functions in both the objective function and constraints. Solve with an automatically selected solver.
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Part 4: Problem-Based Nonlinear Programming
View full series (5 Videos)

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