Multi Objective Method

Type : Selection

Range : The settings listed below

Default : Automatic

This option determines which algorithm should be used for subsequent solves when solving a continuous multi-objective optimization model. Possible values are:

• Automatic

• Primal simplex

• Dual simplex

• Discard warm start

When solving a continuous multi-objective optimization 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 option Method . This option determines the algorithm used to solve for subsequent objectives. The default setting ‘Automatic’ usually chooses primal simplex. The setting ‘Discard warm start’ indicates that warm-start information from previous solves should be discarded, and the model should be solved from scratch (using the algorithm indicated by the option Method ).

Note

• This option only affects continuous multi-objective models.

Learn more about

• Method