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ewarchulewarchul
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Add CEC 2013
1 parent 9c8b915 commit 0232c6b

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‎example/evaluator/evaluate_each_problem.cpp‎

Lines changed: 38 additions & 36 deletions
Original file line numberDiff line numberDiff line change
@@ -1,37 +1,39 @@
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#include <cecxx/mdspan.hpp>
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#include <cstdlib>
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#include <print>
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#include <ranges>
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#include <vector>
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// #include <cecxx/mdspan.hpp>
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// #include <cstdlib>
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// #include <print>
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// #include <ranges>
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// #include <vector>
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//
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// #include <cecxx/benchmark/evaluator.hpp>
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//
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// namespace rn = std::ranges;
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// namespace rv = std::ranges::views;
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// using namespace cecxx::benchmark;
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//
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// auto main() -> int {
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// try {
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// const auto dimensions = std::vector{10uz, 30uz, 50uz, 100uz};
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//
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// // Create an evaluator object for the CEC2017 benchmark
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// auto cec_2017 = evaluator(cec_edition_t::cec2017, dimensions, DATA_STORAGE_PATH);
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//
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// // Create problem grid [problem_number X dimension]
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// const auto problem_grid = rv::cartesian_product(dimensions, rv::iota(1, 30));
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//
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// // Evaluate given input on each optimization problem from CEC2017/D{10, 30, 50, 100}
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// for (const auto &[dim, fn] : problem_grid) {
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// // Prepare input matrix [dim x 2]
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// const auto input = rv::repeat(0.0) | rv::take(2 * dim) | rn::to<std::vector<double>>();
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// const auto mat = cecxx::mdspan{input.data(), dim, 2};
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//
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// const auto output = cec_2017(fn, mat);
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// std::println("dim = {}, fn = {}, output[0] = {}, output[1] = {}", dim, fn, output[0], output[1]);
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// }
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// } catch (std::exception &e) {
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// std::println("Failed: {}", e.what());
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// return EXIT_FAILURE;
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// }
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// return EXIT_SUCCESS;
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// }
638

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#include <cecxx/benchmark/evaluator.hpp>
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namespace rn = std::ranges;
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namespace rv = std::ranges::views;
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using namespace cecxx::benchmark;
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auto main() -> int {
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try {
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const auto dimensions = std::vector{10uz, 30uz, 50uz, 100uz};
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// Create an evaluator object for the CEC2017 benchmark
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auto cec_2017 = evaluator(cec_edition_t::cec2017, dimensions, DATA_STORAGE_PATH);
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// Create problem grid [problem_number X dimension]
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const auto problem_grid = rv::cartesian_product(dimensions, rv::iota(1, 30));
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// Evaluate given input on each optimization problem from CEC2017/D{10, 30, 50, 100}
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for (const auto &[dim, fn] : problem_grid) {
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// Prepare input matrix [dim x 2]
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const auto input = rv::repeat(0.0) | rv::take(2 * dim) | rn::to<std::vector<double>>();
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const auto mat = cecxx::mdspan{input.data(), dim, 2};
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const auto output = cec_2017(fn, mat);
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std::println("dim = {}, fn = {}, output[0] = {}, output[1] = {}", dim, fn, output[0], output[1]);
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}
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} catch (std::exception &e) {
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std::println("Failed: {}", e.what());
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return EXIT_FAILURE;
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}
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return EXIT_SUCCESS;
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}
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auto main() -> int { }

‎example/evaluator/evaluate_separate_problem.cpp‎

Lines changed: 42 additions & 40 deletions
Original file line numberDiff line numberDiff line change
@@ -1,40 +1,42 @@
1-
#include "cecxx/mdspan.hpp"
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#include <cstdlib>
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#include <functional>
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#include <print>
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#include <ranges>
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#include <vector>
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#include <cecxx/benchmark/evaluator.hpp>
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namespace rn = std::ranges;
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namespace rv = std::ranges::views;
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using namespace cecxx::benchmark;
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auto dummy_optimizer(cecxx::benchmark::matrix_t x0, std::function<std::vector<double>(matrix_t)> fn) -> double {
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auto result = fn(x0);
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return result[0];
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}
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auto main() -> int {
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try {
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constexpr auto dim{50uz};
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// Create an evaluator object for the CEC2017 benchmark for 50D
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auto cec_2017 = evaluator(cecxx::benchmark::cec_edition_t::cec2017, std::vector{dim}, DATA_STORAGE_PATH);
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// Extract problem F3 from CEC2017/D50
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auto fn_3 = cec_2017.extract_problem(3, dim);
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// Prepare starting point for your optimization solver
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const auto data = rv::repeat(0.0) | rv::take(dim) | rn::to<std::vector<double>>();
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const auto x0 = cecxx::mdspan{data.data(), dim, 1};
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// Pass problem F3 to your optimizer together with starting point
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const auto result = dummy_optimizer(x0, fn_3);
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std::println("Dummy optimizer's result: {}", result);
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} catch (std::exception &e) {
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std::println("Failed: {}", e.what());
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return EXIT_FAILURE;
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}
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return EXIT_SUCCESS;
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}
1+
// #include "cecxx/mdspan.hpp"
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// #include <cstdlib>
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// #include <functional>
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// #include <print>
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// #include <ranges>
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// #include <vector>
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//
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// #include <cecxx/benchmark/evaluator.hpp>
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//
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// namespace rn = std::ranges;
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// namespace rv = std::ranges::views;
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// using namespace cecxx::benchmark;
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//
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// auto dummy_optimizer(cecxx::benchmark::matrix_t x0, std::function<std::vector<double>(matrix_t)> fn) -> double {
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// auto result = fn(x0);
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// return result[0];
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// }
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//
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// auto main() -> int {
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// try {
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// constexpr auto dim{50uz};
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// // Create an evaluator object for the CEC2017 benchmark for 50D
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// auto cec_2017 = evaluator(cecxx::benchmark::cec_edition_t::cec2017, std::vector{dim}, DATA_STORAGE_PATH);
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//
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// // Extract problem F3 from CEC2017/D50
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// auto fn_3 = cec_2017.extract_problem(3, dim);
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//
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// // Prepare starting point for your optimization solver
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// const auto data = rv::repeat(0.0) | rv::take(dim) | rn::to<std::vector<double>>();
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// const auto x0 = cecxx::mdspan{data.data(), dim, 1};
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//
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// // Pass problem F3 to your optimizer together with starting point
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// const auto result = dummy_optimizer(x0, fn_3);
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// std::println("Dummy optimizer's result: {}", result);
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// } catch (std::exception &e) {
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// std::println("Failed: {}", e.what());
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// return EXIT_FAILURE;
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// }
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// return EXIT_SUCCESS;
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// }
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//
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auto main() -> int { }

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