Browsing Faculty of Natural and Agricultural Sciences by Subject "Mixed integer linear programming"
Now showing items 1-2 of 2
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A note on flow-based formulations for solving resource constrained scheduling problems
(ORSSA, 2017)The resource constrained scheduling problem involves the scheduling of a number of activities over time, where each activity consumes one or more resources per time period. For a feasible solution to exist, the total ... -
Variable selection in logistic regression models through the application of exact mathematical programming
(SASA, 2020)A linearised approximation of the log-likelihood objective function is presented as a potential alternative to iterative fitting methods employed by logistic regression. The log-likelihood objective function is solved using ...