Editorial for the Special Issue "Advances in Machine Learning and Mathematical Modeling for Optimization Problems".

Machine learning and deep learning have made tremendous progress over the last decade and have become the de facto standard across a wide range of image, video, text, and sound processing domains, from object recognition to image generation. Papers invited for this Special Issue considered aspects of this problem, including: Machine learning for optimization problems; Statistical learning; End-to-end machine learning; Graph neural networks; Combining classic optimization algorithms and machine learning; Mathematical models of problems for machine learning; Optimization method for machine learning; Evolutionary computation and optimization problems; Applications such as scheduling problems, smart cities, etc. The articles presented in this Special Issue provide insights into fields related to "Advances in Machine Learning and Mathematical Modeling for Optimization Problems", including models, performance evaluation and improvements, and application developments. These methods also sometimes include classic search and optimization algorithms for machine learning, such as Monte Carlo Tree Search in AlphaGO. [Extracted from the article]