zdt
— ZDT Problem Collection¶
This module contains the ZDT suite for multiobjective optimization as defined in [Zitzler2000]. The problems have two objectives each. Except for ZDT5, the search spaces are continuous.
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class
optproblems.zdt.
ZDT
(**kwargs)¶ The whole collection.
This class inherits fromlist
and by default generates all problems with their default configuration.Parameters: kwargs – Arbitrary keyword arguments, passed through to the constructors of the ZDT problems. References
[Zitzler2000] Zitzler, E., Deb, K., and Thiele, L. (2000). Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation 8(2).
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class
optproblems.zdt.
ZDTBaseProblem
(objective_functions, num_objectives=None, max_evaluations=inf, worker_pool=None, mp_module=None, phenome_preprocessor=None, name=None)¶ -
get_optimal_solutions
(max_number=100)¶ Return Pareto-optimal solutions.
Note
The returned solutions do not yet contain the objective values.
Parameters: max_number (int, optional) – As the number of Pareto-optimal solutions is infinite, the returned set has to be restricted to a finite sample. Returns: solutions – The Pareto-optimal solutions Return type: list of Individual
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class
optproblems.zdt.
ZDT1
(num_variables=30, phenome_preprocessor=None, **kwargs)¶ The ZDT1 problem.
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static
h
(f1_value, g_value)¶ The h function of ZDT1.
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static
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class
optproblems.zdt.
ZDT2
(num_variables=30, phenome_preprocessor=None, **kwargs)¶ The ZDT2 problem.
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static
h
(f1_value, g_value)¶ The h function of ZDT2.
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static
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class
optproblems.zdt.
ZDT3
(num_variables=30, phenome_preprocessor=None, **kwargs)¶ The ZDT3 problem.
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static
h
(f1_value, g_value)¶ The h function of ZDT3.
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static
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class
optproblems.zdt.
ZDT4
(num_variables=10, phenome_preprocessor=None, **kwargs)¶ The ZDT4 problem.
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g
(phenome)¶ The g function of ZDT4.
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static
h
(f1_value, g_value)¶ The h function of ZDT4.
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