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Attempt to fix random_search_test by increasing the number of function calls
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@ -23,16 +23,17 @@ template <class Real> void test_ackley() {
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// This makes the CI a bit more robust;
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// the computation is only deterministic with a deterministic number of threads:
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rs_params.threads = 2;
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rs_params.max_function_calls *= 10;
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std::mt19937_64 gen(12345);
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auto local_minima = random_search(ackley<Real>, rs_params, gen);
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CHECK_LE(std::abs(local_minima[0]), Real(0.1));
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CHECK_LE(std::abs(local_minima[1]), Real(0.1));
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CHECK_LE(std::abs(local_minima[0]), Real(0.2));
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CHECK_LE(std::abs(local_minima[1]), Real(0.2));
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// Does it work with a lambda?
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auto ack = [](std::array<Real, 2> const &x) { return ackley<Real>(x); };
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local_minima = random_search(ack, rs_params, gen);
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CHECK_LE(std::abs(local_minima[0]), Real(0.1));
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CHECK_LE(std::abs(local_minima[1]), Real(0.1));
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CHECK_LE(std::abs(local_minima[0]), Real(0.2));
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CHECK_LE(std::abs(local_minima[1]), Real(0.2));
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// Test that if an intial guess is the exact solution, the returned solution is the exact solution:
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std::array<Real, 2> initial_guess{0, 0};
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@ -124,6 +125,7 @@ void test_three_hump_camel() {
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rs_params.upper_bounds[0] = 5.0;
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rs_params.upper_bounds[1] = 5.0;
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rs_params.threads = 2;
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rs_params.max_function_calls *= 10;
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std::mt19937_64 gen(56789);
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auto local_minima = random_search(three_hump_camel<Real>, rs_params, gen);
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for (auto x : local_minima) {
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@ -142,6 +144,7 @@ void test_beale() {
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rs_params.upper_bounds[0]= 5.0;
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rs_params.upper_bounds[1]= 5.0;
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rs_params.threads = 2;
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rs_params.max_function_calls *= 10;
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std::mt19937_64 gen(56789);
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auto local_minima = random_search(beale<Real>, rs_params, gen);
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CHECK_ABSOLUTE_ERROR(Real(3), local_minima[0], Real(0.1));
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