remove downstream BBO test until it's maintained

Author: ChrisRackauckas

Project.toml

@@ -45,7 +45,6 @@ Zygote = "0.5, 0.6"
 julia = "1.5"
 
 [extras]
-BlackBoxOptim = "a134a8b2-14d6-55f6-9291-3336d3ab0209"
 CMAEvolutionStrategy = "8d3b24bd-414e-49e0-94fb-163cc3a3e411"
 DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
 Evolutionary = "86b6b26d-c046-49b6-aa0b-5f0f74682bd6"
@@ -58,4 +57,4 @@ SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["BlackBoxOptim", "Evolutionary", "DiffEqFlux", "IterTools", "OrdinaryDiffEq", "NLopt", "CMAEvolutionStrategy", "Pkg", "Random", "SafeTestsets", "Test"]
+test = ["Evolutionary", "DiffEqFlux", "IterTools", "OrdinaryDiffEq", "NLopt", "CMAEvolutionStrategy", "Pkg", "Random", "SafeTestsets", "Test"]

test/rosenbrock.jl

@@ -110,6 +110,7 @@ using Evolutionary
 sol = solve(prob, CMAES(μ =40 , λ = 100),abstol=1e-15)
 @test 10*sol.minimum < l1
 
+#=
 using BlackBoxOptim
 prob = GalacticOptim.OptimizationProblem(optprob, x0, lb=[-1.0, -1.0], ub=[0.8, 0.8])
 sol = solve(prob, BBO())
@@ -118,6 +119,7 @@ sol = solve(prob, BBO())
 prob_multi = EnsembleOptimizationProblem([prob, prob])
 sol_multi = solve(prob_multi, BBO(:borg_moea), FitnessScheme=ParetoFitnessScheme{2}(is_minimizing=true), ϵ=0.05, MaxSteps=500000)
 @test 10*sum(sol_multi.minimum) < l1
+=#
 
 using ModelingToolkit
 rosenbrock(x, p) = (p[1] - x[1])^2 + p[2] * (x[2] - x[1]^2)^2