From f3027671f5d5143f3d163fa518aa746360ecf739 Mon Sep 17 00:00:00 2001 From: Brett <32377731+Tri11Paragon@users.noreply.github.com> Date: Fri, 4 Oct 2024 16:06:37 -0400 Subject: [PATCH] Create README.md --- README.md | 43 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..ae971f4 --- /dev/null +++ b/README.md @@ -0,0 +1,43 @@ +# blt-gp +Genetic Programming (GP) library for C++. Integrates directly into the C++ type system, a safe replacement for lilgp without performance compromises. + +## Easy to use, Safe, and fast, all without compromise +Using blt-gp is very easy, import the program header, define your operators, and then call the relevant functions to set up the program to your liking. +Concrete examples can be found in the example folder and compiled using the CMake argument `-DBUILD_EXAMPLES=ON` + +Operator example: +```c++ +// constructor takes an optional string that describes the function of the operator. Used in printing. +blt::gp::operation_t add([](float a, float b) { + return a + b; +}, "add"); +``` +Operators can return different types or have differing types as arguments, this will automatically be recognized by the library. +```c++ +// Any callable type can be passed as the function parameter +// so long as the function exists for the lifetime of the gp_program object. +bool compare_impl(bool type, float a, float b) +{ + return type ? (a > b) : (a < b); +} + + +blt::gp::operation_t compare(compare_impl, "compare"); +``` +Please note that if a type doesn't have a way to produce a terminal, or doesn't have a way of converting from a type that has a terminal, you will get an error. + +Defining your fitness function is just as easy: +```c++ +const auto fitness_function = [](blt::gp::tree_t& current_tree, blt::gp::fitness_t& fitness, blt::size_t current_index) { + // evaluate your fitness + // ... + // write to the fitness out parameter. Only "adjusted_fitness" is used during evaluation. + fitness.raw_fitness = static_cast(fitness.hits); + fitness.standardized_fitness = fitness.raw_fitness; + // higher values = better. Should be bounded [0, 1] + fitness.adjusted_fitness = 1.0 - (1.0 / (1.0 + fitness.standardized_fitness)); + // returning true from this function ends the evaluation of the program, as this signals that a valid solution was found. + // this function is allowed to return void. + return static_cast(fitness.hits) == training_cases.size(); +}; +```