Stream on Hyper-heuristics at the 29th European Conference on Operational Research (EURO 2018), Valencia/Spain, July 8 - 11, 2018 Abstract submission deadline:  March 19, 2018 (EXTENDED)Submission: https://www.euro-online.org/conf/euro29/ Call for Abstracts (Max. 1500 characters): ----------------------------------- - Session: Selection Hyper-heuristics (Submission Code: 665d9460) - Session: Generation Hyper-heuristics (Submission Code: 2480ffb0) Hyper-heuristics are problem-independent generic solvers which have been successfully applied to a wide range of combinatorial search problems both from academia and real-world, such as timetabling, scheduling, routing, rostering, cutting and packing. The studies on this field is mainly considered under two categories, namely Selection and Generation Hyper-heuristics. Selection Hyper-heuristics operate by automatically choosing (low-level) heuristics from an existing heuristic set while the latter type focuses on generating heuristics from scratch based on predefined components. This stream is expecting studies focusing on either of these hyper-heuristic types -offering different learning approaches, utilizing distinct (meta-) heuristic techniques while dealing with various problems. This stream will be organized in connection with the Task Force on Hyper-heuristics within the Technical Committee of Intelligent Systems and Applications at the IEEE Computational Intelligence Society.  Organizers:  ---------- - Prof. Patrick De Causmaecker, KU Leuven, Belgium - Dr. Mustafa Misir, Nanjing University of Aeronautics and Astronautics, China - Dr. Ender Ozcan, University of Nottingham, UK- Dr. Rong Qu, University of Nottingham, UK  Important Dates: --------------     Abstract Submissions: March 19, 2018 (Extended)     Notification to Authors: March 21, 2018     Early Registration: April 6, 2018     Registration: April 20, 2018           For more details: https://mustafamisir.github.io/ss-hh.html Best regards, Patrick De Causmaecker (KU Leuven) Mustafa Misir (Nanjing University of Aeronautics and Astronautics) Ender Ozcan (University of Nottingham)Rong Qu (University of Nottingham) ++++++++++++++++++++++++++++++++++++++++++++++++++  Mustafa MISIR ----------------------------------------------------Machine lEarning and Operations Research (MEmORy) Lab Institute of Machine Learning and Computational IntelligenceCollege of Computer Science and Technology, Office: 230Nanjing University of Aeronautics and Astronautics29 Jiangjun Road, Jiangning, 211106 Nanjing/Jiangsu, China Web: http://mustafamisir.github.io  |  http://memoryrlab.github.io  ----------------------------------------------------