Enable multi-objective optimisation #61
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Multiple scalars can now be returned by an objective function, while the default is only one scalar. In case of multiple objectives (multiple numbers), the objective function must be decorated with the respective directions: @directions(['minimize', 'maximize']) def my_objective(...): # do your calculations return value_to_minimize, value_to_maximize If only one number is returned, the decorator can be omitted if that number should be minimized. If maximization is desired,n single-objective optimisation, the decorator should be used with @directions(['maximize']) def my_objective(...): # do your calculations return value_to_maximize All plotting functions of the Inspector now have a keyword argument objective_number to indicate for which of those objective the respctive plot should be created.
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@mconcas Tadaaaa! |
mconcas
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Jul 12, 2024
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Multiple scalars can now be returned by an objective function, while the default is only one scalar.
In case of multiple objectives (multiple numbers), the objective function must be decorated with the respective directions:
@directions(['minimize', 'maximize'])
def my_objective(...):
do your calculations
return value_to_minimize, value_to_maximize
If only one number is returned, the decorator can be omitted if that number should be minimized.
If maximization is desired,n single-objective optimisation, the decorator should be used with
@directions(['maximize'])
def my_objective(...):
do your calculations
return value_to_maximize
All plotting functions of the Inspector now have a keyword argument objective_number
to indicate for which of those objective the respctive plot should be created.