This document provides an introduction to evolutionary computing and genetic algorithms. It discusses biological inspiration from natural selection and genetics. The simple genetic algorithm (SGA) is described, including representation using binary strings, crossover and mutation operators, and fitness-proportionate selection. An example application to the N-queen problem is covered, showing problem representation, fitness calculation, and using genetic operators like crossover to find solutions satisfying constraints. References for further reading on genetic algorithms and evolutionary computing are also provided.