Black-box optimization (BBO) is a rapidly growing field of optimization and a topic of critical importance in many areas including complex systems engineering, energy and the environment, materials design, drug discovery, chemical process synthesis, and computational biology. In this chapter, we present an overview of theoretical advancements, algorithmic developments, implementations, and several applications of BBO. Lastly, we point to open problems and provide future research directions.