Examples#

A simple example where we evolve an EvoString to the objective word in this case is “Hello world!”

std::string word("hello world!");
auto numPop = 500u;
// create a Population of EvoString,
// the first arg is the population,
// the next three are the coefficients and the last is the EvoString argument
EvoAI::Population<EvoAI::EvoString> pop(numPop,2.0,2.0,1.0, word.size());
auto correct = 0u;
// lambda to pass to Population::eval
auto eval = [&word, &correct](auto& w){
    correct = 0u;
    w.mutate();
    for(auto i=0u;i<word.size();++i){
        if(word[i] == w[i]){
            correct += 1;
        }
    }
    w.setFitness(correct);
};
auto interspecies = true;
do{
    pop.eval(eval);
    if(correct != word.size()){
        pop.reproduce(EvoAI::SelectionAlgorithms::Tournament<EvoAI::EvoString>{numPop}, interspecies);
        pop.increaseAgeAndRemoveOldSpecies();
        pop.regrowPopulation(2.0, 2.0, 1.0, word.size());
    }
}while(correct != word.size());
auto best = pop.getBestMember();
if(best){
    std::cout << "The best is ";
    for(auto i=0u;i<best->size();++i){
        std::cout << (*best)[i];
    }
    std::cout << '\0' << std::endl;
}

you can see this examples in EvoVectorTest or execute it running

bin/RunAllTests --gtest_filter=EvoVectorTest.EvolveWord

more complete examples are at:

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