Economic tools for applying genetic programming algorithms
The purpose of this article is to get acquainted with one of the aspects of artificial intelligence, such as genetic programming, which uses certain genetic algorithms to find a more rational development of its system. The history of the emergence, the scope of such technology, as well as the prospect of application in various fields are considered. Genetic programming is a form of artificial intelligence that mimics natural selection to find the optimal outcome. Genetic programming is iterative, and at each new step in the algorithm, it selects only the fittest of the offspring to cross and reproduce in the next generation, which is sometimes called a fitness function. Just as in biological evolution, evolutionary algorithms can sometimes have randomly mutating offspring, but since only those offspring with the highest fitness score are reproduced, fitness will almost always improve over generations. Undoubtedly, genetic programming is one of the most demanded technologies of the future. Very soon, computing technology will work autonomously without human help due to the fact that artificial intelligence is becoming smarter by improving current skills and removing rudiments, as evolution does, and that lead to incorrect conclusions when solving problems and genetic programming can help in this.