context("FSelectEvolutionary")
test_that("FSelectEvolutionary", {
z = test_fselector("evolutionary", mu = 4, lambda = 8, term_evals = 12)
})
test_that("FSelectEvolutionary - Initial solution", {
z = test_fselector("evolutionary", mu = 4, lambda = 8,
initial.solutions = list(c(1, 1, 1, 0)), term_evals = 12)
r = z$inst$result_x_search_space
expect_equal(r, data.table(x1 = TRUE,
x2 = TRUE,
x3 = TRUE,
x4 = FALSE))
})
test_that("FSelectEvolutionary - Parent selector", {
test_fselector("evolutionary", mu = 4, lambda = 8,
parent.selector = "selRoulette", term_evals = 12)
test_fselector("evolutionary", mu = 10, lambda = 8,
parent.selector = "selGreedy", term_evals = 12)
})
test_that("FSelectEvolutionary - Survial selector", {
test_fselector("evolutionary", mu = 4, lambda = 8,
survival.selector = "selRoulette", term_evals = 12)
})
test_that("FSelectEvolutionary - Survial strategy", {
test_fselector("evolutionary", mu = 4, lambda = 8, survival.strategy = "comma",
n.elite = 1, term_evals = 12)
})
test_that("FSelectEvolutionary - Task with no features as inital solution", {
test_fselector("evolutionary", mu = 4, lambda = 8,
initial.solutions = list(c(0, 0, 0, 0)), term_evals = 10)
})
test_that("FSelectEvolutionary flips random bit if feature set is empty", {
test_fselector("evolutionary", mu = 4, lambda = 8,
initial.solutions = list(c(0, 0, 0, 0)), term_evals = 12)
})
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