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1 results

  • 2 - Mixed-Integer Programming

  • from Part I - Background
  • Christos T. Maravelias, Princeton University, New Jersey
  • Book:
    Chemical Production Scheduling
    Published online:
    01 May 2021
    Print publication:
    06 May 2021, pp 32-64

  • Summary

    This chapter provides an overview of mixed-integer programming (MIP) modeling and solution methods.In Section 2.1, we present some preliminary concepts on optimization and mixed-integer programming. In Section 2.2, we discuss how binary variables can be used to model features commonly found in optimization problems. In Section 2.3, we present some basic MIP problems and models. Finally, in Section 2.4, we overview the basic approaches to solving MIP models and present some concepts regarding formulation tightness and decomposition methods.Finally, we discuss software tools for modeling and solving MIP models in Section 2.5.