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

John Rowse

No 275172, Queen's Institute for Economic Research Discussion Papers from Queen's University - Department of Economics

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.

Keywords: Financial Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 25
Date: 1980-11
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Persistent link: https://EconPapers.repec.org/RePEc:ags:queddp:275172

DOI: 10.22004/ag.econ.275172

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