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

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.


Issue Date:
1980-11
Publication Type:
Working or Discussion Paper
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/275172
Language:
English
Total Pages:
25
Series Statement:
IER No. 407




 Record created 2018-07-19, last modified 2020-10-28

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