Update blackboxoptim_test.jl

SciML · Feb 17, 2024 · a624d95 · a624d95
1 parent e98dee7
commit a624d95
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/test/tests_on_odes/blackboxoptim_test.jl b/test/tests_on_odes/blackboxoptim_test.jl
@@ -4,17 +4,17 @@ println("Use BlackBoxOptim to fit the parameter")
 cost_function = build_loss_objective(prob1, Tsit5(), L2Loss(t, data),
     maxiters = 10000, verbose = false)
 bound1 = Tuple{Float64, Float64}[(1, 2)]
-result = bboptimize(cost_function; SearchRange = bound1, MaxSteps = 11e3)
+result = bboptimize(cost_function; SearchRange = bound1, MaxSteps = 1e3)
 @test result.archive_output.best_candidate[1]≈1.5 atol=3e-1
 
 cost_function = build_loss_objective(prob2, Tsit5(), L2Loss(t, data),
     maxiters = 10000, verbose = false)
 bound2 = Tuple{Float64, Float64}[(1, 2), (2, 4)]
-result = bboptimize(cost_function; SearchRange = bound2, MaxSteps = 11e3)
+result = bboptimize(cost_function; SearchRange = bound2, MaxSteps = 1e3)
 @test result.archive_output.best_candidate≈[1.5; 3.0] atol=3e-1
 
 cost_function = build_loss_objective(prob3, Tsit5(), L2Loss(t, data),
     maxiters = 10000, verbose = false)
 bound3 = Tuple{Float64, Float64}[(1, 2), (0, 2), (2, 4), (0, 2)]
-result = bboptimize(cost_function; SearchRange = bound3, MaxSteps = 11e3)
+result = bboptimize(cost_function; SearchRange = bound3, MaxSteps = 1e3)
 @test result.archive_output.best_candidate≈[1.5; 1.0; 3.0; 1.0] atol=5e-1