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Integrating neural networks and logistic regression to underpin hyper-heuristic search
A hyper-heuristic often represents a heuristic search method that operates over a space of heuristic rules. It can be thought of as a high level search methodology to choose lower level heuristics.
Jingpeng Li, Edmund K Burke, Rong Qu
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A greedy gradient-simulated annealing selection hyper-heuristic
Educational timetabling problem is a challenging real world problem which has been of interest to many researchers and practitioners. There are many variants of this problem which mainly require scheduling of events and resources under various ...
Murat Kalender +2 more
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Some of the next articles are maybe not open access.
A multi-objective hyper-heuristic based on choice function
Expert Systems With Applications, 2014Mashael Maashi +2 more
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Reinforcement learning hyper-heuristics for optimisation.
2017Hyper-heuristics are search algorithms which operate on a set of heuristics with the goal of solving a wide range of optimisation problems. It has been observed that different heuristics perform differently between different optimisation problems. A hyper-heuristic combines a set of predefined heuristics, and applies a machine learning technique to ...
openaire +2 more sources
Heuristic space diversity control for improved meta-hyper-heuristic performance
Information Sciences, 2015Jacomine Grobler +2 more
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Hyper-heuristic method for multilevel thresholding image segmentation
Expert Systems With Applications, 2020Mohamed Abd Elaziz +2 more
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A Tabu Search hyper-heuristic strategy for t-way test suite generation
Applied Soft Computing Journal, 2016Kamal Z Zamli +2 more
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An evolutionary algorithm based hyper-heuristic framework for the set packing problem
Information Sciences, 2019Sachchida Nand Chaurasia, Joong Hoon Kim
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A graph-based hyper-heuristic for educational timetabling problems
European Journal of Operational Research, 2007Edmund K Burke +2 more
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