Abstract
Optimising an important methodological tool in nutritional epidemiology gives rise to a general 0–1 fractional programming problem with more than 200 fractional terms. All fractional terms are conditional, i.e. in every feasible solution only a subset of the fractional terms is actually defined. Existing literature does not provide a solution method. We extend known reformulation approaches to reformulate the general 0–1 fractional programming problem such that it can be solved by standard MILP software. Practical instances were solved fast.
Original language | English |
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Pages (from-to) | 7-11 |
Journal | Operations Research Letters |
Volume | 41 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2013 |
Keywords
- global approach