Institutionen för ingenjörsvetenskap
I am the leader of the research group Production & Automation Engineering which consists of 40+ researchers working within the area of virtual engineering. The group’s research is to a large extent applied and carried out in close cooperation with industrial partners, mainly within the manufacturing industry. The research covers various areas such as simulation, optimization, robotics, decision-support systems and AR/VR.
My own research is focused on solving complex real-world optimization problems through soft computing approaches, and on the development of IT-tools for supporting executing optimized solutions in practice. The problems my research is targeting are usually related to production or logistics and found within both the private and the public sector. I am leading several research projects and supervise several PhD students.
Simulation Optimization of Waste Collection Based on Ultrasonic Level MeasurementsSyberfeldt AnnaProceedings of Industrial Simulation Conference, May 22-24, Ghent, Belgium (227-232). Eurosis, 2013.
A comparative study of production control mechanisms using simulation-based multi-objective optimisationNg Amos H. C., Bernedixen Jacob, Syberfeldt AnnaInternational Journal of Production Research, 2012, 50(2), 359-377.
Real-world simulation-based manufacturing optimization using cuckoo search
Syberfeldt Anna, Lidberg SimonProceedings of the 2012 Winter Simulaiton Conference. IEEE, 2012.
An Industrial Case Study of Web-based Simulation-OptimizationSyberfeldt Anna, Karlsson Ingemar, Ng AmosProceedings of the 9th Industrial Simulation Conference (115-120). Eurosis, 2011.
Practitioner perceptions of Open Source software in the embedded systems area
Lundell Björn, Lings Brian, Syberfeldt AnnaJournal of Systems and Software, 2011, 84(9), 1540-1549.
A LEGO factory for teaching simulation-based production optimizationSyberfeldt AnnaISC'2010: Industrial Simulation Conference 2010 (89-94). EUROSIS-ETI, 2010.
A serious game for understanding artificial intelligence in production optimization
Syberfeldt Anna, Syberfeldt SannyProceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010 (443-449). IEEE, 2010.
Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling
Syberfeldt Anna, Ng Amos, John Robert I. et al.European Journal of Operational Research, 2010, 204(3), 533-544.
A multi-objective evolutionary approach to simulation-based optimisation of real-world problemsSyberfeldt AnnaDoktorsavhandling: De Montfort University, 2009.
Multi-objective evolutionary simulation-optimisation of a real-world manufacturing problem
Syberfeldt Anna, Ng Amos, John Robert I. et al.Robotics and Computer-Integrated Manufacturing, 2009, 25(6), 926-931.