Home
My news
Publications
IEEE CIS Task Force on OMBB


Publications


2017

R. Salehnejad, R. Allmendinger, Y.-W. Chen, M. Ali, A. Shahgholian, P. Yiapanis, M. Mansur (2017): Leveraging data mining techniques to understand drivers of obesity. IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2017). Accepted

F.B. Oyebolu, J.v.L. de Jeude, C. Siganporia, S.S. Farid, R. Allmendinger, J. Branke (2017): A New Lot Sizing and Scheduling Heuristic for Multi-Site Biopharmaceutical Production. Journal of Heuristics. DOI: 10.1007/s10732-017-9338-9

S. Tofan, R. Allmendinger, M. Zanda, O. Stephens (2017): Heuristic Allocation of Computational Resources. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '17). Accepted. (Nominated for best paper)

S. Bagheri, W. Konen, R. Allmendinger, J. Branke, K. Deb, J. Fieldsend, D. Quagliarella, K. Sindhya (2017): Constraint Handling in Efficient Global Optimization. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '17). Accepted.


2016

R. Allmendinger, M.T.M. Emmerich, J. Hakanen, Y. Jin, E. Rigoni (2016): Surrogate-Assisted Multicriteria Optimization: Complexities, Prospective Solutions, and Business Case. Journal of Multi-Criteria Decision Analysis. Accepted.

R. Allmendinger, M. Ehrgott, X. Gandibleux, M.J. Geiger, K. Klamroth, and M. Luque (2016): Navigation in Multiobjective Optimization Methods. Journal of Multi-Criteria Decision Analysis. Accepted.

P. Bunnak, R. Allmendinger, S.V. Ramasamy, P. Lettieri, and N.J. Titchener-Hooker (2016): Life-Cycle and Cost of Goods Assessment of Fed-batch and Perfusion-based Manufacturing Processes for mAbs. Biotechnology Progress. In Press. DOI: 10.1002/btpr.2323. Download pdf


2015

R. Allmendinger, J. Handl, and J. Knowles (2015): Multiobjective Optimization: When Objectives Exhibit Unequal Latencies. European Journal of Operations Research, 243(2): 497-513. Download pdf

R. Allmendinger and J. Knowles (2015): Ephemeral Resource Constraints in Optimization. In R. Datta and K. Deb (Eds.) Evolutionary Constrained Optimization, Springer, pp 95-134. Download pdf


2014

R. Allmendinger, A.S. Simaria, and S.S. Farid (2014): Multiobjective Evolutionary Optimization in Antibody Purification Process Design. Biochemical Engineering Journal, 91: 250-264. Download pdf

R. Allmendinger, A.S. Simaria, R. Turner, and S.S. Farid (2014): Closed-Loop Optimization of Chromatography Column Sizing Strategies in Biopharmaceutical Manufacture. Journal of Chemical Technology & Biotechnology, 89(10): 1481-1490. Download pdf

R. Allmendinger, S. Gerontas, N.J. Titchener-Hooker, and S.S. Farid (2014): Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. Parallel Problem Solving in Nature - PPSN XIII, pp 741-750. Download pdf

R. Allmendinger and S.S. Farid (2014): A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. Parallel Problem Solving in Nature - PPSN XIII, pp 498-507. Download pdf


2013

R. Allmendinger, T. Chilima, A.S. Simaria, and S.S. Farid (2013): Process Economics Optimization of Single-Use and Semi-Continuous Chromatography for Fab Manufacture. ECI Integrated Continuous Biomanufacturing. Accepted. Download pdf

A. Chandra, R. Allmendinger, P.R. Lewis, X. Yao, and J. Torresen (2013): Exposing Market Mechanism Design Trade-offs via Multi-objective Evolutionary Search. IEEE Congress on Evolutionary Computation (CEC 2013), pp 1515-1522. Download pdf

R. Allmendinger, A.S. Simaria, and S.S. Farid (2013): Evolutionary Multiobjective Optimization for Antibody Purification Process Design. 245th ACS Meeting. Accepted. Download pdf

R. Allmendinger and J. Knowles (2013): 'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. Evolutionary Multi-Criterion Optimization (EMO 2013), LNCS 7811, pp 6-20. Download pdf


2012

R. Allmendinger and J. Knowles (2012): On Handling Ephemeral Resource Constraints in Evolutionary Search. Evolutionary Computation, 21(3): 497-531. Download pdf

R. Allmendinger, A.S. Simaria, and S.S. Farid (2012): Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing. Parallel Problem Solving in Nature - PPSN XII, pp 468-477. Download pdf

R. Allmendinger (2012): Tuning Evolutionary Search for Closed-Loop Optimization. PhD thesis. Department of Computer Science, University of Manchester, UK. (Examiners: Jaochu Jin and Gavin Brown) Download pdf


2011

B.G. Small, B.W. McColl, R. Allmendinger, J. Pahle, G. Lopez-Castejon, N.J. Rothwell, J. Knowles, P. Mendes, D. Brough, and D.B. Kell (2011): Efficient discovery of anti-inflammatory small molecule combinations using evolutionary computing. Nature Chemical Biology, 7: 902-908. Download pdf

R. Allmendinger and J. Knowles (2011): Policy Learning in Resource-Constrained Optimization. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO '11), pp 1971-1978. Download pdf

R. Allmendinger and J. Knowles (2011): Evolutionary Search in Lethal Environments. ECTA and FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and the Proceedings of the International Conference on Fuzzy Computation Theory and Applications, pp 63-72. Download pdf (Nominated for best paper)


2010

R. Allmendinger and J. Knowles (2010): On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. Parallel Problem Solving in Nature - PPSN XI , pp 161-170. Download pdf

R. Allmendinger and J. Knowles (2010): Evolutionary Optimization on Problems Subject to Changes of Variables. Parallel Problem Solving in Nature - PPSN XI , pp 151-160. Download pdf


2008

R. Allmendinger (2008): Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. MSc thesis. Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe Institute of Technology, GER. (Examiners: Juergen Branke and Xiaodong Li) Download pdf

R. Allmendinger, X. Li, and J. Branke (2008): Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. Simulated Evolution and Learning (SEAL 2008) , pp 200-209. Download pdf