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1. On User Solution Strategy for Mixed-Integer Linear Programming Models 2. On the Solution of Spatial Price and Allocation Models

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  • Rowse, John

Abstract

Large scale mixed-integer linear programming MILP models may easily prove extraordinarily difficult to solve, even with efficient commercially-implemented MILP solution codes. Drawing on experience gained in solving and analyzing three intertemporal investment planning MILP models for electric power supply, this note offers several practical suggestions for reducing computer solution times for general productionallocation MILP models. Solution time reduction stems from judicious use of the powerful computational capabilities of existing commercial LP codes in conjunction with information known or to be learned by the Practitioner about the model's structure.

Suggested Citation

  • Rowse, John, 1980. "1. On User Solution Strategy for Mixed-Integer Linear Programming Models 2. On the Solution of Spatial Price and Allocation Models," Queen's Institute for Economic Research Discussion Papers 275172, Queen's University - Department of Economics.
    • Handle: RePEc:ags:queddp:275172
    DOI: 10.22004/ag.econ.275172
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    References listed on IDEAS

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