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Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]
Yu X, Mi J, Tang L, Long L, Qin X.
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Can past variants of SARS-CoV-2 predict the impact of future variants? Machine learning for early warning of US counties at risk. [PDF]
Smith KB, Shen S, Denton BT.
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Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. [PDF]
Liu Y +7 more
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Interpretable wrapper-based machine learning framework for predicting patellofemoral pain syndrome using minimal clinical tests. [PDF]
Sannasi R, Kandakurti PK, Stephan T.
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Optimizing urban last mile delivery efficiency through dynamic vehicle routing heuristics and traffic flow analysis. [PDF]
Liu L, Wang T.
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2018
This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heuristic foundations, methodologies, theory, and application areas.
Epitropakis, M.G., Burke, E.K.
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This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heuristic foundations, methodologies, theory, and application areas.
Epitropakis, M.G., Burke, E.K.
openaire +1 more source

