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Miguel Anjos is a Fellow at The University of Edinburgh, affiliated with the School of Mathematics. His research interests include optimization and operations research. He holds the title of Fellow and is associated with the MATH department. His contact information is available via email at Miguel.F.Anjos@ed.ac.uk, and his profile can be accessed through the university's website.


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Miguel F. Anjos is a mathematician specializing in Mathematical Optimization, Continuous Optimization, Electric Energy Systems, Smart Grids, and Facility Layout. His research focuses on developing advanced optimization techniques for complex systems, including unit commitment in electric energy systems, smart grid technologies, and facility layout problems. He has contributed to the formulation of mixed integer linear programming models for unit commitment and explored semidefinite programming approaches for facility layout problems. His work also includes studies on optimal pricing policies for perishable products and the integration of machine learning for battery degradation analysis. Anjos has authored and edited several handbooks on semidefinite, conic, and polynomial optimization, highlighting his expertise in theoretical and applied optimization.

Source: google_scholar · 112 words
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