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Amos H. C. Ng
Researcher at University of Skövde
Publications - 181
Citations - 2188
Amos H. C. Ng is an academic researcher from University of Skövde. The author has contributed to research in topics: Multi-objective optimization & Decision support system. The author has an hindex of 23, co-authored 172 publications receiving 1765 citations. Previous affiliations of Amos H. C. Ng include Uppsala University & Jönköping University.
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Data mining methods for knowledge discovery in multi-objective optimization
TL;DR: Overall, the unsupervised rules generated by flexible pattern mining are found to be the most consistent, whereas the supervised rules from classification trees are the most sensitive to user-preferences.
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Digital Twin: Applying emulation for machine reconditioning
TL;DR: Old machine reconditioning projects extend the life length of machines with reduced investments, however they frequently involve complex challenges and the lack of technical documentation and t ...
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Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling
TL;DR: A new technique is presented that efficiently deals with noise in multi-objective optimisation by using an iterative resampling procedure that reduces the noise until the likelihood of selecting the correct solution reaches a given confidence level.
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How can decision makers be supported in the improvement of an emergency department? : A simulation, optimization and data mining approach
TL;DR: The improvement of emergency department processes involves the need to take into consideration multiple variables and objectives in a highly dynamic and unpredictable environment, which makes thedecision-making more complex.
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A simulation-based scheduling system for real-time optimization and decision making support
TL;DR: In this paper, the authors present an industrial application of simulation-based optimization (SBO) in the scheduling and real-time rescheduling of a complex machining line in an automotive manufacturer in Sweden.