Anna Syberfeldt
Physics and Mathematics
University of Skovde
Sweden
Biography
I am the leader of the research group Production & Automation Engineering which consists of approx. 45 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 continuous improvements.
Research Interest
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 ten PhD students.
Publications
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A New Algorithm Using the Non-dominated Tree to improve Non-dominated Sorting Gustavsson Patrik, Syberfeldt Anna Evolutionary Computation, 2017.
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A Decision Support System for Sustainable Waste Collection Strand Mattias, Syberfeldt Anna, Geertsen André International Journal of Decision Support System Technology, 2017, 9(4), 49-65.
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A comparative evaluation of the GPU vs. the CPU for parallelization of evolutionary algorithms through multiple independent runs Syberfeldt Anna, Ekblom Tom International Journal of Computer Science & Information Technology (IJCSIT), 2017, 9(3), 1-14.
