Genetic algorithm as a method of solving selected optimization problems

Genetic algorithms, which were created on the basis of observation and imitation of processes happening in living organisms, are used to solve optimisation tasks. The idea of genetic algorithms was presented by Holland, and they were developed and implemented for solving optimisation tasks by Goldberg. Choice of particular variables of the vector w = [w1, w2,…, w n ] in order to maximize or minimize a fitness function takes place as a result of a sequence of genetic operations in the form of selection, crossbreeding and mutation. The article describes the basic genetic (classic) algorithm including its components.