Description Usage Arguments Value Note References
Pure R implementation of the SMS-EMOA. This algorithm belongs to the group of indicator based multi-objective evolutionary algorithms. In each generation, the SMS-EMOA selects two parents uniformly at, applies recombination and mutation and finally selects the best subset of individuals among all subsets by maximizing the Hypervolume indicator.
1 2 3 4 5 | smsemoa(task, n.population = 100L, ref.point = NULL,
parent.selector = setupSimpleSelector(),
mutator = setupPolynomialMutator(eta = 25, p = 0.2),
recombinator = setupSBXRecombinator(eta = 15, p = 0.7), max.iter = NULL,
max.evals = NULL, max.time = NULL, ...)
|
task |
[ |
n.population |
[ |
ref.point |
[ |
parent.selector |
[ |
mutator |
[ |
recombinator |
[ |
max.iter |
[ |
max.evals |
[ |
max.time |
[ |
... |
[any] |
[ecr_smsemoa_result, ecr_multi_objective_result
]
This helper function hides the regular ecr interface and offers a more R like interface of this state of the art EMOA.
Beume, N., Naujoks, B., Emmerich, M., SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, Volume 181, Issue 3, 16 September 2007, Pages 1653-1669.
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