Julia Lange

M.Sc. Julia Lange

Doctoral Student, Tutor
Institute for Mathematical Optimization (IMO)
Otto-von-Guericke-Universität Magdeburg
Universitätsplatz 2
39106 Magdeburg, Germany
email: julia.lange@ovgu.de
office: building 02, room 207a
phone: +49 391 67 51451
fax: +49 391 67 11171

Research Interests

  • Job Shop Scheduling with Blocking Constraints and Total Tardiness
  • Simulated Annealing applied to Job Shop Problems with Blocking Constraints
  • Genetic Algorithms and School Timetabling Problems

Recent Publications / Preprints

  • Approaches to modeling train scheduling problems as job-shop problems with blocking constraints
    Julia Lange, Frank Werner
    In: Journal of Scheduling, 2017, published online, DOI 10.1007/s10951-017-0526-0, 17 pages (pdf, bibtex)
  • A neighborhood for the blocking job-shop problem embedded in a simulated annealing
    Julia Lange
    In: Metaheuristics International Conference (Proceedings), 2017, 4 pages (pdf, bibtex)
  • A comparison of approaches to modeling train scheduling problems as job-shop problems with blocking constraints
    Julia Lange, Frank Werner
    Preprint 2015-18, Otto-von-Guericke-Universität Magdeburg, 2015 (pdf, bibtex)
  • Die Anwendung eines genetischen Algorithmus auf das Timetabling Problem einer Grundschule
    Julia Lange
    Master Thesis, Otto-von-Guericke-Universität Magdeburg, 2012 (pdf, bibtex)

Current Teaching

Short CV

since 10/2012Doctoral student, Tutor at Institute for Mathematical Optimization, Faculty of Mathematics, OvGU Magdeburg
04/2013 - 01/2014Research Assistant/Tutor at Chair of Strategic Management and Organisation, Faculty of Economics and Management, OvGU Magdeburg
10/2010 - 09/2012Master of Science in Business Economics, OvGU Magdeburg, Thesis: Die Anwendung eines genetischen Algorithmus auf das Timetabling Problem einer Grundschule
01/2012 - 06/2012Working Student for Siemens AG, Infrastructure and Mobility, Braunschweig
Office Hour - Sprechstunde
From Oct, 23rd to Feb, 2nd
there will be office hours on Tuesdays from 10 to 11.30 am.
Von 23. Okt bis 2. Feb
findet die Sprechstunde
dienstags von 10 bis 11.30 Uhr statt.
Mathematical Methods I
Here you can find an
outline
of the lectures and tutorials and
past exam tasks
classified by topics.
Instructions for Exams
Here you can find
instructions for exams
in Math. Methods I,
Math. Economics, MMBE and Methods for Economists.