class Pagmo < Formula desc "Scientific library for massively parallel optimization" homepage "https://esa.github.io/pagmo2/" url "https://github.com/esa/pagmo2/archive/v2.11.4.tar.gz" sha256 "7756cf4b4a427a856137c40c3fdf27422fcf546249b70f9ba4c213ef1fbee051" bottle do cellar :any sha256 "bf7266791644988179506f3c89dd7f671ea36b2262a1d1daaf9b51f81f28e962" => :catalina sha256 "fadbf1dddee642198a8e4b0f1ca2c55785137cb7eadda7136e09a7475d8eec75" => :mojave sha256 "ff1dccd341a12f21c16979dcc1a6fd63eb764997e975d2bd720e4957693a118a" => :high_sierra end depends_on "cmake" => :build depends_on "boost" depends_on "eigen" depends_on "nlopt" depends_on "tbb" def install ENV.cxx11 system "cmake", ".", "-DPAGMO_WITH_EIGEN3=ON", "-DPAGMO_WITH_NLOPT=ON", *std_cmake_args system "make", "install" end test do (testpath/"test.cpp").write <<~EOS #include #include #include #include #include #include using namespace pagmo; int main() { // 1 - Instantiate a pagmo problem constructing it from a UDP // (user defined problem). problem prob{schwefel(30)}; // 2 - Instantiate a pagmo algorithm algorithm algo{sade(100)}; // 3 - Instantiate an archipelago with 16 islands having each 20 individuals archipelago archi{16, algo, prob, 20}; // 4 - Run the evolution in parallel on the 16 separate islands 10 times. archi.evolve(10); // 5 - Wait for the evolutions to be finished archi.wait_check(); // 6 - Print the fitness of the best solution in each island for (const auto &isl : archi) { std::cout << isl.get_population().champion_f()[0] << std::endl; } return 0; } EOS system ENV.cxx, "test.cpp", "-I#{include}", "-L#{lib}", "-lpagmo", "-std=c++11", "-o", "test" system "./test" end end