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IEEE CIS Task Force on OMBB




2021

X. Wanga, Y. Jin, S. Schmitt, M. Olhofer, R. Allmendinger. Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowledge-Based Systems. In Press. Download pdf

J. Fieldsend, T. Chugh, R. Allmendinger, K. Miettinen. A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. In Press. Download pdf

J. Hakanen and R. Allmendinger. Multiobjective optimization and decision making in engineering sciences.Optimization and Engineering, 22:1031 1037. Download pdf

A. Avramescu, R. Allmendinger, M. Lopez-Ibanez. A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine.24th International Conference on the Applications of Evolutionary Computation (evoAPPS), pp 388-403. Download pdf

A. Iskandar, R. Allmendinger. Multi-Objective Workforce Allocation in ConstructionProjects. 24th International Conference on the Applications of Evolutionary Computation (evoAPPS), Springer. Download pdf

C.N. Onah, R. Allmendinger, J. Handl, K. Dunn. Surviving Burn Injury: Drivers of Length of Hospital Stay.International Journal of Environmental Research and Public Health, 18(2):761--781. Download pdf

2020

C. Rhodes, R. Allmendinger, R. Climent. New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music.Entropy, 22(12):1384-1404. Download pdf

C. Bevelle, R. Allmendinger, D. Ghataoura. Application of Artificial Intelligence Based Simulations for Military Logistics Supply Network Decision Making.MSG-177 Symposium on "Towards On-Demand Personalized Training and Decision Support". Download pdf

L. Kelly, S. Sachan, L. Ni, F. Almaghrabi, R. Allmendinger, Y.-W. Chen. Explainable Artificial Intelligence for Digital Forensics: Opportunities, Challenges and a Drug Testing Case Study.Digital Forensic Science, B.S. Shetty and P. Shetty (Eds.), IntechOpen, 2020. Download pdf

Y. Kim, R. Allmendinger, M. Lopez-Ibanez. A Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art.24th European Conference on Artificial Intelligence (ECAI 2020), TAILOR 2020 Workshop: Trustworthy AI - Integrating Learning, Optimization and Reasoning, pp 123-139. Download pdf

M. Ayodele, R. Allmendinger, K.N. Papamichail. Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff. The Sixth International Conference on Machine Learning, Optimization, and Data Science (LOD 2020), pp 326-338. Download pdf

2019

C.N. Onah, R. Allmendinger, J. Handl, P. Yiapanis, K. Dunn. Data-driven Patient Grouper. Intelligent Data Engineering and Automated Learning - IDEAL 2019, Springer. Accepted

C. Rhodes, R. Allmendinger, R. Climent. New Interfaces for Classifying Performance Gestures in Music. Intelligent Data Engineering and Automated Learning - IDEAL 2019, Springer. Accepted

C. Shand, R. Allmendinger, J. Handl, J. Keane (2019): Evolving Controllably Difficult Datasets for Clustering. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '19), pp 463-471. (Nominated for best paper) Download pdf

J. Fieldsend, T. Chugh, R. Allmendinger, K. Miettinen (2019): A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '19), pp 463-471. Download pdf

F.B. Oyebolua, R. Allmendinger, S.S. Farid, J. Branke (2019): Dynamic Scheduling of Multi-Product Continuous Biopharmaceutical Facilities: a Hyper-Heuristic Framework. Computers & Chemical Engineering, in press. Download pdf


2018

R. Allmendinger (2018): Conference Report on 2017 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017). IEEE Computational Intelligence Magazine, 13(1):2324. Download pdf

R. Allmendinger (2018): Can machines completely replace humans in drug manufacturing processes? Frontiers of Engineering Management, 5(4):542. Download pdf

C. Shand, R. Allmendinger, J. Handl, J. Keane (2018): Towards an Adaptive Encoding for Evolutionary Data Clustering. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '18), pp 521-528. Download pdf

T. Chugh, R. Allmendinger, V. Ojalehto, K. Miettinen (2018): Surrogate-assisted Evolutionary Biobjective Optimization for Objectives with Non-uniform Latencies. Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '18), pp 609-616. Download pdf

R. Allmendinger, M.T.M Emmerich, J. Hakanen, G. Fadel, J. Jahn, B. Naujoks, R. Purshouse, and P. Shukla (2018): Complex networks and MCDM. In Dagstuhl Reports, Dagstuhl Seminar 18031. Personalized Multiobjective Optimization: An Analytics Perspective, Volume 8, pp 76-84. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Germany. ISSN 2192-5283. Download pdf


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), IEEE, pp 1-9. Download pdf

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, Springer, 23(4):231-256. Download pdf

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), ACM, pp 1256-1263. (Nominated for best paper) Download pdf

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), ACM, pp 673-680. Download pdf


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, 24(1):5-24. Download pdf

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, 24(1):57-70. Download pdf

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

R. Allmendinger, C.A. Coello Coello, M.T.M Emmerich, J. Hakanen, Y. Jin, and E. Rigoni (2015): Surrogate-Assisted Multicriteria Optimization. In Dagstuhl Reports, Dagstuhl Seminar 15031. Learning in Multiobjective Optimization, Volume 2(1), pp 151-159. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Germany. ISSN 2192-5283. 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

R. Allmendinger, H. Braun, M. Ehrgott, X. Gandibleux, M. J. Geiger, K. Klamroth, P.Korhonen, M. Luque, and E. Zitzler (2012): Navigation in Multi Objective Optimization Methods. In Dagstuhl Reports, Dagstuhl Seminar 12041. Understanding Complexity in Multiobjective Optimization, Volume 2, pp 86-92. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Germany. ISSN 2192-5283. 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)

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