Professor i automatiseringstek
Institutionen för ingenjörsvetenskap
Professor of Automation Engineering
Academic & Professional Qualifications
- BEng, MPhil, PhD
- Chartered Engineer (CEng), United Kingdom
- Member of the Institution of Engineering and Technology (MIET), United Kingdom
Production simulation, multi-objective optimization of production systems, simulation-based optimization, simulation-based innovization.
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective OptimizationSiegmund Florian, Ng Amos H. C., Deb KalyanmoyEvolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings (560-574). Springer, 2017.
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
Bandaru Sunith, Ng Amos H. C., Deb KalyanmoyExpert systems with applications, 2017, 70, 139-159.
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications
Bandaru Sunith, Ng Amos H. C., Deb KalyanmoyExpert systems with applications, 2017, 70, 119-138.
Combining system dynamics and multi-objective optimization with design space reductionAslam Tehseen, Ng Amos H. C.Industrial management + data systems, 2016, 116(2), 291-321.
Automatic identification of constraints and improvement actions in production systems using multi-objective optimization and post-optimality analysis
Pehrsson Leif, Ng Amos H. C., Bernedixen JacobJournal of manufacturing systems, 2016, 39, 24-37.
Innovative Design and Analysis of Production Systems by Multi-objective Optimization and Data Mining
Ng Amos H.C., Bandaru Sunith, Frantzén MarcusProcedia CIRP, 2016, 50, 665-671. [Hämta fulltext]
Investigating Maintenance Performance: A Simulation Study
Linnéusson Gary, Ng Amos, Aslam TehseenProceedings of the 7th Swedish Production Symposium. 2016. [Hämta fulltext]
Dynamic maintenance priority of a real-world machining line
Frantzén Marcus, Holm Magnus, Syberfeldt Anna et al.Proceedings of the 7th Swedish Production Symposium. 2016. [Hämta fulltext]
Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems
Siegmund Florian, Ng Amos H. C., Deb KalyanmoyApplications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 – April 1, 2016, Proceedings, Part II (311-326). 2016.
Lean, Simulation and Optimization: A Win-Win combination
Goienetxea Uriarte Ainhoa, Urenda Moris Matías, Ng Amos H. C. et al.Proceedings of the 2015 Winter Simulation Conference (2227-2238). Piscataway, New Jersey: IEEE Computer Society, 2016.