When solving a continuous multi-objective model using a hierarchical
approach, the model is solved once for each objective. The algorithm
used to solve for the highest priority objective is controlled by
the Method parameter. This parameter
determines the algorithm used to solve for subsequent objectives. As
Method parameters, values of 0 and 1 use primal and
dual simplex, respectively. A value of 2 indicates that warm-start
information from previous solves should be discarded, and the model
should be solved from scratch (using the algorithm indicated by
Method parameter). The default setting of -1 usually
chooses primal simplex.
Note: Only affects continuous multi-objective models
For examples of how to query or modify parameter values from our different APIs, refer to our Parameter Examples.