Advances in Operations Research

Dear Colleagues,

During the last years various researchers have shown that Operations Research (OR) and Machine Learning (ML) do have an huge impact on each other. The main conclusion is to cleverly combine ML and OR in order to have the best of both worlds. There are various way to achieve an improvement, e.g., by using ML for pre-processing and OR for post-processing, to use OR to improve ML, to use ML to improve OR, or apply a hybridization which may even lead to new algorithms. If strengths and weaknesses of both ML and OR are well understood, a combination can be used to level out the weaknesses of one method by the strengths of the other method. In this issue novel research papers from all these possible areas of these combinations are invited, both on a theoretical level including novel algorithms as well as thorough application examples. All authors are highly encouraged to provide their respective computer code and/or data in an open-source repository as well as following the rules of reproducible research as sincere as possible.

Dr. Ronald Hochreiter
Guest Editor

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• operations research
• optimization
• machine learning
• applications