Amos H.C. Ng
Amos H.C. Ng
Professor of Production and Automation at University of Skövde; Visiting Professor of Automation, Optimization and Simulation at Uppsala University.
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Cited by
Cited by
Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey
S Bandaru, AHC Ng, K Deb
Expert Systems with Applications 70, 139-159, 2017
Multi-objective evolutionary optimisation for product design and manufacturing
L Wang, AHC Ng, K Deb
Springer, 2011
Digital Twin: Applying emulation for machine reconditioning
M Ayani, M Ganebäck, AHC Ng
Procedia Cirp 72, 243-248, 2018
Supporting the lean journey with simulation and optimization in the context of Industry 4.0
AG Uriarte, AHC Ng, MU Moris
Procedia Manufacturing 25, 586-593, 2018
A simulation-based scheduling system for real-time optimization and decision making support
M Frantzén, AHC Ng, P Moore
Robotics and Computer-Integrated Manufacturing 27 (4), 696-705, 2011
Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling
A Syberfeldt, A Ng, RI John, P Moore
European Journal of Operational Research 204 (3), 533-544, 2010
How can decision makers be supported in the improvement of an emergency department? A simulation, optimization and data mining approach
AG Uriarte, ER Zúñiga, MU Moris, AHC Ng
Operations Research for Health Care 15, 102-122, 2017
Bringing together Lean and simulation: a comprehensive review
A Goienetxea Uriarte, AHC Ng, M Urenda Moris
International Journal of Production Research 58 (1), 87-117, 2020
Dynamic implications of customer order decoupling point positioning
P Hedenstierna, AHC Ng
Journal of Manufacturing Technology Management 22 (8), 1032-1042, 2011
Industrial cost modelling and multi-objective optimisation for decision support in production systems development
L Pehrsson, AHC Ng, D Stockton
Computers & Industrial Engineering 66 (4), 1036-1048, 2013
Simulation-based decision support for manufacturing system life cycle management
LJ De Vin, AHC Ng, J Oscarsson
Journal of Advanced Manufacturing Systems 3 (02), 115-128, 2004
Virtual manufacturing for press line monitoring and diagnostics
AHC Ng, J Adolfsson, M Sundberg, LJ De Vin
International Journal of Machine Tools and Manufacture 48 (5), 565-575, 2008
Information fusion for simulation based decision support in manufacturing
LJ De Vin, AHC Ng, J Oscarsson, SF Andler
Robotics and Computer-Integrated Manufacturing 22 (5-6), 429-436, 2006
Multi-objective optimization for supply chain management: A literature review and new development
T Aslam, HCN Amos
2010 8th International Conference on Supply Chain Management and Information …, 2010
Integration of data mining and multi-objective optimisation for decision support in production systems development
C Dudas, AHC Ng, L Pehrsson, H Boström
International Journal of Computer Integrated Manufacturing 27 (9), 824-839, 2014
Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation
AHC Ng, J Bernedixen, MU Moris, M Jägstam
Proceedings of the 2011 winter simulation conference (WSC), 2176-2188, 2011
Multi-objective evolutionary simulation-optimisation of a real-world manufacturing problem
A Syberfeldt, A Ng, RI John, P Moore
Robotics and Computer-Integrated Manufacturing 25 (6), 926-931, 2009
On the performance of classification algorithms for learning Pareto-dominance relations
S Bandaru, AHC Ng, K Deb
2014 IEEE Congress on evolutionary computation (CEC), 1139-1146, 2014
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
A Syberfeldt, H Grimm, A Ng, RI John
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
Parameter tuned CMA-ES on the CEC'15 expensive problems
M Andersson, S Bandaru, AHC Ng, A Syberfeldt
2015 IEEE congress on evolutionary computation (CEC), 1950-1957, 2015
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