[EDK13] Michael T.M. Emmerich, Andre Deutz, and Johannes W. Kruisselbrink. On quality indicators for black-box level set approximation. 447:157-185, 2013. [ bib | DOI | http ]
[LEEBSDR12] R. Lui, M.T.M. Emmerich, J. Eggermont, Th. Bäck, M. Schütz, J. Dijkstra, and J.H.C. Reiber. Mixed integer evolution strategies for parameter optimization. Evolutionary Computation, pages 1-38, 2012. [ bib ]
[GWMSLBBM12] D. Gaida, C. Wolf, C. Meyer, A. Stuhlsatz, J. Lippeland Th. Bäck, M. Bongards, and S. McLoone. State estimation for anaerobic digesters using the adm 1. Water Science & Technology, 66(5):1088-1095, 2012. [ bib ]
[HMMVKAEBBZ12] Eelke Van Der Horst, Patricia Marques-Gallego, Thea Mulder-Krieger, Jacobus Van Veldhoven, Johannes Kruisselbrink, Alexander Aleman, Michael T M Emmerich, Johannes Brussee, Andreas Bender, and Adriaan P IJzerman. Multi-objective evolutionary design of adenosine receptor ligands. Journal of Chemical Information and Modeling, 52(7):1713-1721, 2012. [ bib | http ]
[CEJ12] Ana L. Custodio, Michael Emmerich, and Jos e F.A. Madeira. Recent developments in derivative-free multiobjective optimisation. Computational Technology Reviews, 5:1-30, 2012. [ bib | DOI ]
[LEEBDRS11] Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Thomas Baeck, Jouke Dijkstra, Hans Reiber, and M. Schuetz. Mixed integer evolution strategies for parameter optimization. Evolutionary Computation Journal, 2011. [ bib ]
[HPIJBLVEOB10] Eelke van der Horst, Julio E. Peironcely, Adriaan P. IJzerman, Margot W. Beukers, Jonathan R. Lane, Herman W. T. van Vlijmen, Michael T. M. Emmerich, Yasushi Okuno, and Andreas Bender. A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization. BMC Bioinformatics, 11:316, 2010. [ bib ]
[KEL10] Alexander v. d. Kuijl, Michael T. M. Emmerich, and Hui Li. A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation. Concurrency and Computation: Practice and Experience, 22(3):314-328, 2010. [ bib ]
[SEB10] Ofer M. Shir, Michael Emmerich, and Thomas Bäck. Adaptive niche radii and niche shapes approaches for niching with the cma-es. Evolutionary Computation, 18(1):97-126, 2010. [ bib ]
[DWHPCIJEJB09] Munikumar R. Doddareddy, Gerard J. P. van Westen, Eelke van der Horst, Julio E. Peironcely, Frans Corthals, Adriaan P. IJzerman, Michael Emmerich, Jeremy L. Jenkins, and Andreas Bender. Chemogenomics: Looking at biology through the lens of chemistry. Stat. Anal. Data Min., 2(3):149-160, 2009. [ bib | DOI ]
[SB09] Ofer M. Shir and Thomas Bäck. Niching with derandomized evolution strategies in artificial and real-world landscapes. Natural Computing: an international journal, 8(1):171-196, 2009. [ bib | DOI ]
[ELBFKDHIJB09] M Emmerich, BVY Li, A Bender, J Kruisselbrink E Faddiev, AH Deutz, E van der Horst, A IJzerman, and Th Baeck. Analyzing molecular landscapes using random walks and information theory. Chemistry Central Journal (suppl), 3:20, 2009. [ bib ]
[SBBRV08] Ofer M. Shir, Vincent Beltrani, Thomas Bäck, Herschel Rabitz, and Marc J.J. Vrakking. On the diversity of multiple optimal controls for quantum systems. Journal of Physics B: Atomic, Molecular and Optical Physics, 41(7), 2008. [ bib | DOI ]
[STTUEE08] Guido Sand, Jochen Till, Thomas Tometzki, Maren Urselmann, Michael Emmerich, and Sebastian Engell. Evolutionäre Algorithmen zur Echtzeitoptimierung von Produktionsplänen für Chargenprozesse (Evolutionary Algorithms for the Online Optimization of Batch Production Schedules). Automatisierungstechnik, 56(2):80-89, 2008. [ bib ]
[STTUEE08a] Guido Sand, Jochen Till, Thomas Tometzki, Maren Urselmann, Sebastian Engell, and Michael Emmerich. Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse. Computers & Chemical Engineering, 32(11):2706-2722, 2008. [ bib ]
[UETSE07] Maren Urselmann, Michael T.M. Emmerich, Jochen Till, Guido Sand, and Sebastian Engell. Design of problem-specific EA/MIP hybrids: Two-stage stochastic integer programming applied to chemical batch scheduling. Engineering Optimization, 39:529-549, 2007. [ bib ]
[SSBV06] Christian Siedschlag, Ofer M. Shir, Thomas Back, and Marc J.J. Vrakking. Evolutionary algorithms in the optimization of dynamic molecular alignment. Optics Communications, 264(2):511-518, August 2006. [ bib ]
[KNKBIJ06] Jeroen Kazius, Siegfried Nijssen, Joost N. Kok, Thomas Bäck, and Adriaan P. IJzerman. Substructure mining using elaborate chemical representation. Journal of Chemical Information and Modeling, 46(2):597-605, 2006. [ bib ]
[LKBIJ06a] Eric-Wubbo Lameijer, Joost N. Kok, Thomas Bäck, and Adriaan P. IJzerman. Mining a chemical database for fragment co-occurrence: Discovery of chemical clichés. Journal of Chemical Information and Modeling, 46(2):553-562, 2006. [ bib ]
[LKBIJ06b] Eric-Wubbo Lameijer, Joost N. Kok, Thomas Bäck, and Adriaan P. IJzerman. The molecule evoluator. an interactive evolutionary algorithm for the design of drug-like molecules. Journal of Chemical Information and Modeling, 46(2):545-552, 2006. [ bib ]
[E06] Michael Emmerich. Sms-emoa: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 2006. [ bib ]
[EGN06] Michael T. M. Emmerich, Kyriakos Giannakoglou, and Boris Naujoks. Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. IEEE Trans. Evolutionary Computation, 10(4):421-439, 2006. [ bib ]
[LBKIJ05] Eric-Wubbo Lameijer, Thomas Bäck, Joost N. Kok, and Adriaan P. IJzerman. Evolutionary algorithms in drug design. Natural Computing, 4(3):177-243, 2005. [ bib ]
[TSEES05] Jochen Till, Guido Sand, Sebastian Engell, Michael Emmerich, and Lutz Schoenemann. A hybrid algorithm for solving two-stage stochastic integer problems by combining evolutionary algorithms and mathematical programming methods. Computer-Aided Chemical Engineering (ESCAPE Suppl.), 20 A:187-192, 2005. [ bib ]
[BDHHK04] Ron Breukelaar, Erik D. Demaine, Susan Hohenberger, Hendrik Jan Hoogeboom, Walter A. Kosters, and David Liben-Nowell. Tetris is hard, even to approximate. International Journal of Computational Geometry & Applications, 14(1-2):41 - 68, April 2004. [ bib ]
[HB04] Jano I. van Hemert and Thomas Bäck. Robust parameter settings for variation operators by measuring the resampling ratio: A study on binary constraint satisfaction problems. J. Heuristics, 10(6):629-640, 2004. [ bib ]
[BSW04] Thomas Bäck, Marc Schoenauer, and Lars Willmes. Preface. Natural Computing, 3(1):1-3, 2004. [ bib ]
[SEM04] Lutz Schönemann, Michael Emmerich, and Mike Preuß. On the extinction of evolutionary algorithm subpopulations on multimodal landscapes. Informatica (Slovenia), 28(4):345-351, 2004. [ bib ]
[NB03] Siegfried Nijssen and Thomas Bäck. An analysis of the behavior of simplified evolutionary algorithms on trap functions. IEEE Trans. Evolutionary Computation, 7(1):11-22, 2003. [ bib ]

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