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Model.getMultiobjEnv()

getMultiobjEnv ( index )

Create/retrieve a multi-objective environment for the optimization pass with the given index. This environment enables fine-grained control over the multi-objective optimization process. Specifically, by changing parameters on this environment, you modify the behavior of the optimization that occurs during the corresponding pass of the multi-objective optimization.

Each multi-objective environment starts with a copy of the current model environment.

Please refer to the discussion of Multiple Objectives for information on how to specify multiple objective functions and control the trade-off between them.

Please refer to the discussion on Combining Blended and Hierarchical Objectives for information on the optimization passes to solve multi-objective models.

Use discardMultiobjEnvs to discard multi-objective environments and return to standard behavior.

Arguments:

index (int): The optimization pass index, starting from 0.

Return value:

The multi-objective environment for that optimization pass when solving the model.

Example usage:

  env0 = model.getMultiobjEnv(0)
  env1 = model.getMultiobjEnv(1)

  env0.setParam('TimeLimit', 100)
  env1.setParam('TimeLimit', 10)

  model.optimize()

  model.discardMultiobjEnvs()

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