Automated Design of Machine Learning and Search Algorithms - researchr publication

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Nelishia Pillay, Rong Qu, editors, Automated Design of Machine Learning and Search Algorithms. Natural Computing Series, Springer, 2021. [doi]

Abstract is missing.

Recent Developments of Automated Machine Learning and Search TechniquesRong Qu. 1-9 [doi]

Automated Machine Learning - A Brief Review at the End of the Early YearsHugo Jair Escalante. 11-28 [doi]

A General Model for Automated Algorithm DesignRong Qu. 29-43 [doi]

Rigorous Performance Analysis of Hyper-heuristicsPietro S. Oliveto. 45-71 [doi]

AutoMoDe: A Modular Approach to the Automatic Off-Line Design and Fine-Tuning of Control Software for Robot SwarmsMauro Birattari, Antoine Ligot, Gianpiero Francesca. 73-90 [doi]

A Cross-Domain Method for Generation of Constructive and Perturbative HeuristicsChristopher Stone, Emma Hart, Ben Paechter. 91-107 [doi]

Hyper-heuristics: Autonomous Problem SolversMustafa Misir. 109-131 [doi]

Toward Real-Time Federated Evolutionary Neural Architecture SearchHangyu Zhu, Yaochu Jin. 133-147 [doi]

Knowledge Transfer in Genetic Programming Hyper-heuristicsYi Mei 0001, Mazhar Ansari Ardeh, Mengjie Zhang 0001. 149-169 [doi]

Automated Design of Classification AlgorithmsNelishia Pillay, Thambo Nyathi. 171-184 [doi]

Automated Design (AutoDes): Current Trends and Future Research DirectionsNelishia Pillay. 185-187 [doi]

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