Evolutionary computation is a field that studies how computer systems can learn from natural evolution to solve problems. It's not just about genetic algorithms, but a broader range of techniques inspired by evolution. These techniques can help with optimization, machine learning, and design tasks. The main goal of this chapter is to introduce evolutionary computation and highlight some important aspects that are often overlooked. By drawing inspiration from nature, these computational systems can tackle a variety of real-world problems effectively.