Title guess

It is high time to change a type of applied algorithm to a heuristic one, which has many applications and also subtypes. Here, we focus only on genetic algorithms, which are adaptive heuristic search algorithms. They are related to the Darwinian theory of evolution and natural selection. According to it, individuals in a population compete, and the population evolves to create next generations that are better suited to survive. The genetic algorithms operate on strings that evolve to receive possibly the highest value of fitness, complying with the rule of survival and passing on the genes of the fittest parents, also based on a randomized data exchange. The algorithm ends its operation when a suitable value of fitness is reached or when the maximum number of generations is reached.

Where can you find more information?

You can find a lot of content about genetic algorithms in the internet, such as in the article published at https://link.springer.com/article/10.1007...