test.benchmark.R
In MaOEA: Many Objective Evolutionary Algorithm

context('benchmark')

test_that("Check DTLZ return correct value based on the Pareto front", {
  skip_if_missing_module()
  individual <- matrix(stats::runif(14*2),ncol=2)
  individual[4:14,1] <- 0.5
  individual[1:3,1] <- 0

  individual[4:14,2] <- 0.5
  individual[1:3,2] <- 1
  nObj <- 4
  expect_equal(norm(DTLZ1(individual,nObj)[,1,drop=F],'1'),0.5)
  expect_equal(norm(DTLZ2(individual,nObj)[,1],'2'),1)
  expect_equal(norm(DTLZ3(individual,nObj)[,1],'2'),1)
  expect_equal(norm(DTLZ4(individual,nObj)[,1],'2'),1)

  expect_equal(norm(DTLZ1(individual,nObj)[,2,drop=F],'1'),0.5)
  expect_equal(norm(DTLZ2(individual,nObj)[,2],'2'),1)
  expect_equal(norm(DTLZ3(individual,nObj)[,2],'2'),1)
  expect_equal(norm(DTLZ4(individual,nObj)[,2],'2'),1)
})

test_that("Check WFG return correct value based on the Pareto front", {
  skip_if_missing_module()
  individual <- stats::runif(14)
  individual[6:14] <- 0.35*(6:14)*2
  individual[1:5] <- 0
  nObj <- 6
  expect_lt(norm(WFG4(individual,nObj)/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error
  expect_equal(norm(WFG5(individual,nObj)/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG6(individual,nObj)/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG7(individual,nObj)/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG8(individual,nObj)/c(2,4,6,8,10,12),'2'),1)
  expect_lt(norm(WFG9(individual,nObj)/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error
})


test_that("Check WFG return correct value based on the Pareto front", {
  skip_if_missing_module()
  individual <- matrix(,nrow=14,ncol=2)
  individual[6:14,1] <- 0.35*(6:14)*2
  individual[1:5,1] <- 0
  individual[6:14,2] <- 0.35*(6:14)*2
  individual[1:5,2] <- 2
  nObj <- 6
  k <- 12
  expect_lt(norm(WFG4(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error
  expect_equal(norm(WFG5(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG6(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG7(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG8(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2'),1)
  expect_lt(norm(WFG9(individual,nObj,k)[,1]/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error

  expect_lt(norm(WFG4(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error
  expect_equal(norm(WFG5(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG6(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG7(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2'),1)
  expect_equal(norm(WFG8(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2'),1)
  expect_lt(norm(WFG9(individual,nObj,k)[,2]/c(2,4,6,8,10,12),'2')-1,0.04) # should be equal, but strongly affected by numerical error
})