STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature. [PDF]
BioinformaticsMehryary F +4 more
europepmc +1 more source
Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems. [PDF]
PeerJ Comput SciBándi N, Gaskó N.
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Robustness of interstitial photodynamic therapy treatment planning under power and positional uncertainties in light delivery. [PDF]
Sci RepWang S, Saeidi T, Lilge L, Betz V.
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A hybrid learning framework integrating chaotic Niche alpha evolution for student academic performance prediction. [PDF]
Sci RepChen H, Zhou Y, Cao Q.
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A generality analysis of multiobjective hyper-heuristics
Information Sciences, 2023 Selection hyper-heuristics have emerged as high level general-purpose search methodologies that mix and control a set of low-level (meta) heuristics. Previous empirical studies over a range of single objective optimisation problems have shown that the ...
Ender Özcan +2 more
exaly +8 more sources
A methodology for determining an effective subset of heuristics in selection hyper-heuristics [PDF]
European Journal of Operational Research, 2017 We address the important step of determining an effective subset of heuristics in selection hyper-heuristics. Little attention has been devoted to this in the literature, and the decision is left at the discretion of the investigator.
Gabriela Ochoa +2 more
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Monte Carlo hyper-heuristics for examination timetabling
Annals of Operations Research, 2010 Automating the neighbourhood selection process in an iterative approach that uses multiple heuristics is not a trivial task. Hyper-heuristics are search methodologies that not only aim to provide a general framework for solving problem instances at ...
Mustafa Misir +2 more
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Recent advances in selection hyper-heuristics [PDF]
European Journal of Operational Research, 2020 Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for computational search problems. This is in contrast to many approaches, which represent customised methods for a single problem domain or a narrow class of ...
Ahmed Kheiri +2 more
exaly +4 more sources
Effective learning hyper-heuristics for the course timetabling problem [PDF]
European Journal of Operational Research, 2014 Course timetabling is an important and recurring administrative activity in most educational institutions. This article combines a general modeling methodology with effective learning hyper-heuristics to solve this problem.
Gabriela Ochoa +2 more
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A study of ant-based pheromone spaces for generation constructive hyper-heuristics
Swarm and Evolutionary Computation, 2022Nelishia Pillay, Emilio Singh
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