Results 221 to 230 of about 1,116,663 (238)
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HHFS: Hyper-heuristic feature selection
Intelligent Data Analysis, 2016Feature selection is an important machine learning field which can provide a key role for the challenging problem of classifying high-dimensional data. This problem is finding effective features among the set of all features in such that the final feature set can improve accuracy and reduce complexity.
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Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2017
Daniel R. Tauritz, John R. Woodward
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Daniel R. Tauritz, John R. Woodward
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Hyper-heuristics and cross-domain optimization
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012Hyper-heuristics comprise a set of approaches which are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies.
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A study of ant-based pheromone spaces for generation constructive hyper-heuristics
Swarm and Evolutionary Computation, 2022Emilio Singh, Nelishia Pillay
exaly
Selection hyper-heuristics for the multi and many-objective quadratic assignment problem
Computers and Operations Research, 2022Sandra M Venske +2 more
exaly
Evolutionary learning of selection hyper-heuristics for text classification
Applied Soft Computing Journal, 2023Jonathan Estrella-Ramirez +1 more
exaly
Hyper-heuristics using multi-armed bandit models for multi-objective optimization
Applied Soft Computing Journal, 2020Carolina Almeida +2 more
exaly
Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems
Annals of Operations Research, 2008Peter Ross, Eunice López-Camacho
exaly
A systematic mapping addressing Hyper-Heuristics within Search-based Software Testing
Information and Software Technology, 2019Valdivino Alexandre de Santiago Junior
exaly

