Professor Juergen Branke
Professor of Operational Research & Systems
Research Interests
Nature inspired optimisation; logistics and scheduling; organic computing; multiobjective optimisation and decision making; optimisation in presence of uncertainty; simulation-based optimisation.
Teaching in 2019-2020
Business Analytics
- IB9BS0: Supply Chain Analytics
Postgraduate Research Business and Management
- IB9GF0: Recent Advances in Operational Research and Operations Management
Undergraduate
- IB3520: Applied Optimization Methods
Operations Group
Email: Juergen.Branke@wbs.ac.uk / Tel: 024 765 75816 / Room: 0.214
Biography
Previously senior scientist at Icosystem Inc, France and lecturer/senior lecturer at the University of Karlsruhe, Germany. Editor-in-Chief of ACM Transactions on Evolutionary Learning an Optimization, Area Editor for the Journal of Heuristics, Associate Editor for IEEE Transactions on Evolutionary Computation and the Evolutionary Computation Journal. Programme Chair / Co-Chair of several conferences (e.g., Genetic and Evolutionary Computation Conference 2010, Parallel Problem Solving from Nature 2014) and tracks at conferenes (e.g., EURO 2016, Genetic and Evolutionary Computation Conference 2017 and 2013, Learning in Intelligent Optimization 2013). Member of INFORMS, OR Society, ACM, IEEE.
Publications
Journal Articles
- Gökalp, E. and Branke, J. (2020) "Pharmaceutical R & D pipeline management under trial duration uncertainty", Computers & Chemical Engineering, 106782
- Demirbilek, M., Branke, J. and Strauss, A. (2019) "Dynamically accepting and scheduling patients for home healthcare", Health Care Management Science, 22, 1, 140-155
- Groves, M. J. and Branke, J. (2019) "Top-k selection with pairwise comparisons", European Journal of Operational Research, 274, 2, 615-626
- Yazdani, D., Omidvar, N., Branke, J., Nguyen, T. T. and Yao, X. (2019) "Scaling up dynamic optimization problems : a divide-and-conquer approach", IEEE Transactions on Evolutionary Computation
- Branke, J. and Zhang, W. (2019) "Identifying efficient solutions via simulation : myopic multi-objective budget allocation for the bi-objective case", OR Spectrum
- Demirbilek, M., Branke, J. and Strauss, A. (2019) "Home healthcare routing and scheduling of multiple nurses in a dynamic environment", Flexible Services and Manufacturing Journal
- Fei, X., Branke, J. and Gülpinar, N. (2019) "New sampling strategies when searching for robust solutions", IEEE Transactions on Evolutionary Computation, 23, 2, 273-287
- Fei, X., Gulpinar, N. and Branke, J. (2019) "Efficient solution selection for two-stage stochastic programs", European Journal of Operational Research, 277, 3, 918-929
- MacLachlan, J., Mei, Y., Branke, J. and Zhang, M. (2019) "Genetic programming hyper-heuristic with vehicle collaboration for uncertain capacitated arc routing problem", Evolutionary Computation
- Oyebolu, F. B., Allmendinger, R., Farid, S. S. and Branke, J. (2019) "Dynamic scheduling of multi-product continuous biopharmaceutical facilities : a hyper-heuristic framework", Computers & Chemical Engineering, 125, 71-88
- van Lon, R. R. S., Branke, J. and Holvoet, T. (2018) "Optimizing agents with genetic programming : an evaluation of hyper-heuristics in dynamic real-time logistics", Genetic Programming and Evolvable Machines, 19, 1-2, 93-120
- Ball, R., Branke, J. and Meisel, S. (2018) "Optimal sampling for simulated annealing under noise ", INFORMS Journal on Computing, 30, 1, 200-215
- Yazdani, D., Nguyen, T. T. and Branke, J. (2018) "Robust optimization over time by learning problem space characteristics", IEEE Transactions on Evolutionary Computation
- Pearce, M. and Branke, J. (2018) "Continuous multi-task Bayesian optimisation with correlation", European Journal of Operational Research, 270, 3, 1074-1085
- Gülpinar, N., Çanakoğlu, E. and Branke, J. (2018) "Heuristics for the stochastic dynamic task-resource allocation problem with retry opportunities", European Journal of Operational Research, 266, 1, 291-303
- Miranda, D. M., Branke, J. and Conceição, S. V. (2018) "Algorithms for the multi-objective vehicle routing problem with hard time windows and stochastic travel time and service time", Applied Soft Computing, 70, 66-79
- Oyebolu, F. B., Van Lidth de Jeude, J., Siganporia, C., Farid, S. S., Allmendinger, R. and Branke, J. (2017) "A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production", Journal of Heuristics, 23, 4, 231-256
- Branke, J., Corrente, S., Greco, S. and Gutjahr, W. (2017) "Efficient pairwise preference elicitation allowing for indifference ", Computers & Operations Research, 88, 175-186
- Branke, J., Asafuddoula, M., Bhattacharjee, K. S. and Ray, T. (2017) "Efficient use of partially converged simulations in evolutionary optimization ", IEEE Transactions on Evolutionary Computation, 21, 1, 52-64
- Heger, J., Branke, J., Hildebrandt, T. and Scholz-Reiter, B. (2016) "Dynamic adjustment of dispatching rule parameters in flow shops with sequence dependent setup times", International Journal of Production Research , 54, 22, 6812-6824
- Branke, J., Corrente, S., Greco, S., Słowiński, R. and Zielniewicz, P. (2016) "Using Choquet integral as preference model in interactive evolutionary multiobjective optimization", European Journal of Operational Research, 250, 3, 884-901
- Branke, J., Farid, S. S. and Shah, N. (2016) "Industry 4.0 : a vision for personalized medicine supply chains?", Cell and Gene Therapy Insights, 2, 2, 263-270
- Branke, J., Nguyen, S., Pickardt, C. W. and Zhang, M. (2016) "Automated design of production scheduling heuristics : a review", IEEE Transactions on Evolutionary Computation, 20, 1, 110-124
- LaPorte, G. J., Branke, J. and Chen, C. (2015) "Adaptive parent population sizing in evolution strategies", Evolutionary Computation, 23, 3, 397-420
- Morales-Enciso, S. and Branke, J. (2015) "Tracking global optima in dynamic environments with efficient global optimization", European Journal of Operational Research, 242, 3, 744-755
- Hildebrandt, T. and Branke, J. (2015) "On using surrogates with genetic programming", Evolutionary Computation, 23, 3, 343-367
- Branke, J., Hildebrandt, T. and Scholz-Reiter, B. (2015) "Hyper-heuristic evolution of dispatching rules : a comparison of rule representations", Evolutionary Computation, Volume 23, Number 2, 249-277
- Branke, J., Greco, S., Slowinski, R. and Zielniewicz, P. (2015) "Learning value functions in interactive evolutionary multiobjective optimization", IEEE Transactions on Evolutionary Computation, 19, 1, 88-102
- Helwig, S., Branke, J. and Mostaghim, S. (2013) "Experimental analysis of bound handling techniques in particle swarm optimization", IEEE Transactions on Evolutionary Computation, Volume 17, Number 2, 259-271
- Pickardt, C. W., Hildebrandt, T., Branke, J., Heger, J. and Scholz-Reiter, B. (2013) "Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems", International Journal of Production Economics, Volume 145, Number 1, 67-77
- Pickardt, C. W. and Branke, J. (2012) "Setup-oriented dispatching rules – a survey", International Journal of Production Research , Vol.50, No.20, 5823-5842
- Nguyen, T. T., Yang, S. and Branke, J. (2012) "Evolutionary dynamic optimization : a survey of the state of the art", Swarm and Evolutionary Computation, Volume 6, 1-24
- Branke, J. and Pickardt, C. W. (2011) "Evolutionary search for difficult problem instances to support the design of job shop dispatching rules", European Journal of Operational Research, Vol.212, No.1, 22-32
- Chick, S. E., Branke, J. and Schmidt, C. (2010) "Sequential sampling to myopically maximize the expected value of information", INFORMS Journal on Computing, 22, 1, 71-80
- Deb, K., Gupta, S., Daum, D., Branke, J., Mall, A. K. and Padmanabhan, D. (2009) "Reliability-based optimization using evolutionary algorithms", IEEE Transactions on Evolutionary Computation, Vol.13, No.5, 1054-1074
- Paenke, I., Jin, Y. and Branke, J. (2009) "Balancing population- and individual-level adaptation in changing environments", Adaptive Behaviour, Vol.17, No.2, 153-174
- Branke, J., Scheckenbach, B., Steinke, M., Deb, K. and Schmeck, H. (2009) "Portfolio optimization with an envelope-based multi-objective evolutionary algorithm", European Journal of Operational Research, 199, 3, 684-693
- Prothmann, H., Branke, J., Schmeck, H., Tomforde, S., Rochner, F., Hahner, J. and Schloer, C. M. (2009) "Organic traffic light control for urban road networks", International Journal of Autonomous and Adaptive Communications Systems, Vol.2, No.3, 203-225
- Stein, M., Branke, J. and Schmeck, H. (2008) "Efficient implementation of an active set algorithm for large-scale portfolio selection", Computers & Operations Research, Vol.35, No.12, 3945-3961
- Branke, J., Meisel, S. and Schmidt, C. (2008) "Simulated annealing in the presence of noise", Journal of Heuristics, Vol.14, No.6, 627-654
Book Items
- Branke, J. and Fei, X. (2016) "Efficient sampling when searching for robust solutions", 9921, 237-246, Springer, Cham,
- Morales-Enciso, S. and Branke, J. (2014) "Response surfaces with discounted information for global optima tracking in dynamic environments", Volume 512, 57-69, Springer,
- Branke, J. and Elomari, J. A. (2013) "Racing with a fixed budget and a self-adaptive significance level", Volume 7997, 272-280, Springer Berlin Heidelberg, Berlin Heidelberg
- Tomforde, S., Prothmann, H., Branke, J., Hähner, J., Müller-Schloer, C. and Schmeck, H. (2011) "Organic traffic control ", Springer, Basel
- Juergen Branke (2011) "Artificial societies ", Springer, New York
- Branke, J. and Schmeck, H. (2008) "Evolutionary design of emergent behavior ", 123, Springer, Berlin
- Blackwell, T., Branke, J. and Li, X. (2008) "Particle swarms for dynamic optimization problems ", 193, Springer, Berlin ; London
- Juergen Branke (2008) "Interactive multiobjective evolutionary algorithms ", 5252, 179, Springer-Verlag, Berlin
- Juergen Branke (2008) "Consideration of partial user preferences in evolutionary multiobjective optimization ", 5252, 157, Springer-Verlag, Berlin
- Belton, V., Branke, J., Eskelinen, P., Greco, S., Molina, J., Ruiz, F. and Slowinski, R. (2008) "Interactive multiobjective optimization from a learning perspective ", 5252, 405, Springer-Verlag, Berlin
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