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June 2024

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Ender Ozcan (Uni of Nottingham) | Jun 12 | Machine Learning meets Selection Hyper-heuristics
by Zdeněk Hanzálek 10 Jun '24

10 Jun '24

Dear scheduling researcher, We are delighted to announce the talk given by Ender Ozcan (Uni of Nottingham). The title is "Machine Learning meets Selection Hyper-heuristics". The seminar will take place on Zoom on Wednesday, June 12 at 13:00 UTC. Join Zoom Meeting https://cesnet.zoom.us/j/91588200395?pwd=sySE3R77BKsPZfaOOQ8O7EyeuhfLT3.1 Meeting ID: 915 8820 0395 Passcode: 557258 You can follow the seminar online or offline on our Youtube channel as well: https://www.youtube.com/channel/UCUoCNnaAfw5NAntItILFn4A The abstract follows. Hyper-heuristics are powerful search methodologies that operate on low level heuristics or heuristic components to tackle computationally hard optimisation problems. The current state-of-the-art in hyper-heuristic research contains classes of algorithms that focus on intelligently selecting or generating a suitable heuristic for a given situation. Hence, there are two main types of hyper-heuristics: selection and generation hyper-heuristics. A typical selection hyper-heuristic chooses a low-level heuristic and applies it to the current solution at each step of a search, before deciding whether to accept or reject the newly created solution. Generation hyper-heuristics, in contrast, automatically build heuristics or heuristic components during the search process. Machine learning is revolutionising various fields, and its integration with hyper-heuristics holds immense potential. This talk will first offer a concise overview of hyper-heuristics, followed by illustrative case studies demonstrating how we have successfully applied machine learning to automatically design more effective selection hyper-heuristics. The next talk in our series will be: For more details, please visit https://schedulingseminar.com/ With kind regards Zdenek, Mike and Guohua -- Zdenek Hanzalek Industrial Informatics Department, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic https://rtime.ciirc.cvut.cz/~hanzalek/

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