Evolutionary computation refers to the process of identifying algorithms and computing models that replicate the principles of biological evolution to solve complex problems. This process involves a wide range of techniques, such as genetic algorithms, evolutionary programming, swarm intelligence, and artificial life. Synonyms for evolutionary computation include evolutionary algorithms, genetic programming, nature-inspired computing, bio-inspired computing, and computational evolution. Regardless of the synonym used, the main goal of these approaches is to find optimal solutions or approximations in various settings, including optimization problems, robotics, machine learning, and data mining. With the development of advanced computing and artificial intelligence, evolutionary computation is expected to play an increasingly important role in many interdisciplinary areas of research and development.