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.
Automatic identification of constraints and improvement actions in production systems using multi-objective optimization and post-optimality analysisPehrsson 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]
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.
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.
Real World Data Identification and Classification for Support of Virtual Confidence
Morshedzadeh Iman, Oscarsson Jan, Ng Amos H.C. et al.7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016. 2016.
Tuning of Multiple Parameter Sets in Evolutionary Algorithms
Andersson Martin, Bandaru Sunith, Ng Amos H. C.GECCO'16: Proceedings of the 2016 genetic and evolutionary computation conference (533-540). Association for Computing Machinery (ACM), 2016.
Investigating Maintenance Performance: A Simulation Study
Linnéusson Gary, Ng Amos, Aslam TehseenProceedings of the 7th Swedish Production Symposium. 2016.