This article discusses the deep integration of optimization and machine learning and how it has become a popular topic in the last decade. The Special Issue of AppliedMath focuses on showcasing the latest advances in this field and providing a platform for researchers to share their findings. The article also mentions the goal of developing optimization-based ML algorithms and efficient ML-assisted optimization algorithms to address challenges in scientific research and engineering applications in the big data era.
