Results 211 to 219 of about 3,693 (219)

Hyper-heuristics tutorial

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2017
Daniel R. Tauritz, John Woodward
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A Re-characterization of Hyper-Heuristics

2017
Hyper-heuristics are an optimization methodology which ‘search the space of heuristics’ rather than directly searching the space of the underlying candidate-solution representation. Hyper-heuristic search has traditionally been divided into two layers: a lower problem-domain layer (where domain-specific heuristics are applied) and an upper hyper ...
Jerry Swan, Patrick De Causmaecker, Simon Martin, Ender Özcan   +3 more
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Hyper-heuristic Learning for Swarm Robots

2020
This thesis develops a framework for automatic construction of complex swarm robot behaviours. It demonstrates the benefit of machine learning in assisting swarm robots in unknown and dynamic environments.
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Generation Perturbative Hyper-Heuristics

2018
Nelishia Pillay, Rong Qu
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Selection Constructive Hyper-Heuristics

2018
Nelishia Pillay, Rong Qu
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Hyper-heuristics

2006
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Hyper-heuristics for Combinatorial Optimisation

2022
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Hyper-Heuristics: Theory and Applications

2018
Nelishia Pillay, Rong Qu
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Advances in Evolutionary Hyper-Heuristics

Proceedings of the Genetic and Evolutionary Computation Conference Companion
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