moead_framework.aggregation.functions.AggregationFunction¶
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class
moead_framework.aggregation.functions.AggregationFunction[source]¶ Bases:
abc.ABCAbstract class to implement an aggregation function in the framework
Methods
__init__Initialize self.
is_better(old_value, new_value)Allow to compare 2 aggregations values according to the aggregation function and to the context (minimization or maximization).
run(solution, number_of_objective, weights, …)Compute the aggregation value.
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abstract
is_better(old_value, new_value)[source]¶ Allow to compare 2 aggregations values according to the aggregation function and to the context (minimization or maximization).
- Parameters
old_value – {float}
new_value – {float}
- Returns
{boolean} True if new_value is better than old_value.
The test depends of the aggregation function and of the context (minimization or maximization).
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abstract
run(solution, number_of_objective, weights, sub_problem, z)[source]¶ Compute the aggregation value.
- Parameters
solution – {
OneDimensionSolution}number_of_objective – {integer} number of objective
weights – {list<list<integer>>} List of weight vectors
sub_problem – {integer} index of the sub-problem / weight vector
z – {list<float>} coordinates of the reference point Z*
- Returns
{float} the aggregation value of the solution for the weight vector: weights[sub-problem]
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abstract