Stream on Hyper-heuristics
Abstract submission deadline: January 17, 2020
Call for Abstracts (Max. 1500 characters):
Session on Selection Hyper-heuristics (Submission Code: 3298ef0c)
Session on Generation Hyper-heuristics (Submission Code: e964da30)
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.
Best regards,
Dr. Mustafa Misir, Istinye University, Turkey
Prof. Nelishia Pillay, University of Pretoria, South Africa
Dr. Rong Qu, University of Nottingham, UK
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Mustafa MISIR
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Machine lEarning and Operations Research (MEmORy) Lab ++
Artificial Intelligence in Medicine Research Center (TYZAUM)
Istinye University, Department of Computer Engineering,
Topkapi Kampusu, Office: 102, Maltepe Mah.,
34010 Zeytinburnu/Istanbul, Turkey
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