Publications of Michael Emmerich

Thesis

Michael Emmerich. Optimierung verfahrenstechnischer Prozessstrukturen mit evolutionaeren Algorithmen (Diplomarbeit). Technical Report of the Systems Analysis Research Group SYS-7/99, University of Dortmund, Department of Computer Science, December 1999.

Michael Emmerich: Single- and multiobjective evolutionary design optimization assisted by Gaussian random field metamodels, Dissertation, FB Informatik, Technical University Dortmund, Germany

Book (based on PhD thesis)

Michael Emmerich: Single- and multiobjective evolutionary design optimization assisted by Gaussian random field metamodels, ELDORADO, TU-Dortmund, 2005

Book chapters

Michael Emmerich, Monika Groetzner, Bernd Gross, Frank Henrich, Peter Roosen, and Martin Schuetz. Strukturoptimierung Verfahrenstechnischer Anlagen mit Evolutionären Algorithmen. In S. Hafner, H. Kiendl, R. Kruse, and H.-P. Schwefel, editors, Computational Intelligence im industriellen Einsatz: Fuzzy Systeme, Neuronale Netze, Evolutionäre Algorithmen, Data Mining, pages 277-282, VDI-Verlag, Duesseldorf, 2000.

Thomas Baeck, Michael T.M. Emmerich, and Martin Schallmo. Industrial Applications of Evolutionary Algorithms: A Comparison to Traditional Methods. In I. C. Parmee and P. Hajela, editors, Optimization in Industry, pages 303-314, Springer, London, 2002.

Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Ernst G.P. Bovenkamp, Thomas Baeck, Jouke Dijkstra, and Johan H.C. Reiber:Optimizing a Medical Image Analysis System Using Mixed-Integer Evolution StrategiesStefano Cagnoni: Evolutionary Image Analysis and Signal Processing, Springer, Berlin, 2009,pages 91-112

International Journal Publications

Michael Emmerich, Monika Groetzner, and Martin Schuetz. Design of Graph-based Evolutionary Algorithms: A Case Study for Chemical Process Networks. Evolutionary Computation, 9(3):329-354, 2001.

Lutz Schoenemann, Michael Emmerich, and Mike Preuss. On the Extinction of Evolutionary Algorithm Subpopulations on Multimodal Landscapes. Informatica (Sl), 28(4):345-351, 2004.

Michael T.M. Emmerich, Kyriakos Giannakoglou, and Boris Naujoks: Single- and Multiobjective Optimization Assisted by Gaussian Random Field Metamodels, IEEE Transactions on Evolutionary Computation, Special Issue on Evolutionary Computation in the presence of uncertainty August, 2006.

Nicola Beume, Boris Naujoks, und Michael Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 181(3):1653-1669, 2007.

Urselmann, Maren; Emmerich, Michael T. M.; Till, Jochen; Sand, Guido; Engell, Sebastian: Design of problem-specific EA/MIP hybrids: Two-stage stochastic integer programming applied to chemical batch scheduling. Engineering Optimization (2007)

G. Sand, S. Engell, M.Emmerich, M. Urselmann, and J.Till: Engineered vs. Standard Evolutionary Algorithms: A Case Study in Batch Scheduling with Recourse, Computers & Chemical Engineering, Enterprise-Wide Optimization special issue (2007)

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, Andreas Bender: Chemogenomics: Looking at biology through the lens of chemistry. Statistical Analysis and Data Mining, Volume 2 Issue 3 (p 149-160) Published Online: Aug 20 2009 10:56AM DOI: 10.1002/sam.10046

Alexander v. d. Kuijl, Michael T. M. Emmerich, Hui Li: A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation, Concurrency and Computation: Practice and Experience (Wiley) Published Online: Aug 20 2009 6:25AM DOI: 10.1002/cpe.1481

Ofer M. Shir, Michael Emmerich and Thomas Baeck. Adaptive Niche-Radii and Niche-Shapes Approaches for Niching with the CMA-ES. Evolutionary Computation, MIT Press (In Print)

Publications in national journals

Sand, G., Till, J., Tometzki, T., Urselmann, M., Emmerich, M. & Engell, S.: Evolutionäre Algorithmen zur Echtzeitoptimierung von Produktionsplänen für Chargenprozesse, Automatisierungstechnik, at Schwerpunktheft "Produktionsoptimierung" Vol. 56, pp. 80-89.

Publications on Conferences (peer reviewed)

Ofer M. Shir, Mike Preuss, Boris Naujoks, and Michael Emmerich. Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2009). LNCS 5467; Springer.

J. Kruisselbrink, A. Aleman, M. Emmerich, A. IJzerman, A. Bender, Th. Baeck, E.v.d. Horst. Enhancing search space diversity in multiobjective evolutionary drug molecule design using niching. Int. ACM Conf. GECCO 2009: 217-224

J. Kruisselbrink, M. Emmerich, Th. Baeck, A. Bender, A. IJzerman, E. v.d. Horst. Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design, In: M. Ehrgott et al.: Evolutionary Multicriterion Optimization, LNCS 5467, Springer 2009, 453-467

Juan Chen, Michael T. M. Emmerich, Rui Li, Joost Kok and Thomas Baeck: How to Do Recombination in Evolution Strategies: An Empirical Study. Third International Work Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009.

J.W. Klinkenberg, M.Emmerich, A.Deutz: Expected improvement of the S-metric for finite Pareto front approximations , In M. Ehrgott et al.:Conference on Multicriteria Decision Making 2008, January 2008, Auckland, NZ

J.W. Klinkenberg, T.M. Emmerich, A.H. Deutz, O.M. Shir, T. Baeck: A reduced-cost SMS-EMOA using kriging, self-adaptation, and parallelization In M. Ehrgott et al.:Conference on Multicriteria Decision Making 2008, January 2008, Auckland, NZ , Lecture Notes on Economy and Mathematical Systems, 2009 Springer

Jeroen Eggermont, Rui Li, Ernst G.P. Bovenkamp, Henk Marquering, Michael T.M. Emmerich, Aad van der Lugt, Thomas Baeck, Jouke Dijkstra, and Hans Reiber: Optimizing Computed Tomographic Angiography Image Segmentation using Fitness Based Partitioning. Proceedings of the 10th european workshop on evolutionary computation in image analysis and signal processing (EvoIASP), Napoli, Italy, 2008. (Best Paper Award).

Michael T.M. Emmerich, Rui Li, Anyi Zhang, Ildiko Flesch and Peter Lucas: Mixed-Integer Bayesian Optimization Utilizing A-Priori Knowledge on Parameter Dependences. To appear in The 20th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC), Enschede, the Netherlands, 2008.

Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T.M. Emmerich, Thomas Baeck, Jouke Dijkstra, and Hans Reiber: Mixed-Integer Evolution Strategies with Dynamic Niching. To appear in 10th International Conference on Parallel Problem Solving From Nature (PPSN X), Dortmund, Germany, 2008. Springer LNCS 5199, page: 246-255

Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Ernst G.P. Bovenkamp, Thomas Baeck, Jouke Dijkstra, and Hans Reiber. Metamodel-Assisted Mixed-Integer Evolution Strategies and Their Applications to IntraVascular UltraSound Image Analysis. Proceedings of IEEE CEC, Hong Kong, China, 2008.

Michael T. M. Emmerich, Johannes W. Kruisselbrink, Eelke van der Horst, Ad P. IJzerman, Andreas Bender and Thomas Baeck. Combined Interactive and Automated Adaptive Search for Molecular Design. Proceedings of Adaptive Computing in Design and Manufacture 2008 (ACDM08)

Michael Emmerich, C. Hopfe, R. Marijt, J. Hensen, C. Struck, P. Stoelinga Evaluating optimization methodologies for future integration in building performance tools , Ian Parmee (Edt,): ACDM 2008, April 29th-May 1st, Bristol, UK

v. d. Kuijl, A., Emmerich, M. T., and Li, H. 2008. A novel multi-objective optimization scheme for grid resource allocation. In Proceedings of the 6th international Workshop on Middleware For Grid Computing (Leuven, Belgium, December 01 - 05, 2008). MGC '08. ACM, New York, NY, 1-6. DOI= http://doi.acm.org/10.1145/1462704.1462711

M. Emmerich, A. Deutz, N. Beume: Gradient-based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric, Hybrid Metaheuristics, 2007, Springer, LNCS 4771, 140-157

M. Emmerich, A. Deutz: Test Problems based on Lame Superspheres, Evolutionary Multiobjective Optimization 2007 (EMO2007), Matsushima, Japan, 2007, LNCS 4403, Springer, pp. 922-936

Ofer M. Shir, Michael Emmerich and Thomas Baeck. Self-Adaptive Niching CMA-ES with Mahalanobis Metric. Proceedings of IEEE-CEC 2007, Singapore; IEEE Press (CDROM)

Ofer M. Shir, Michael Emmerich, Thomas Baeck and Marc J.J. Vrakking. The Application of Evolutionary Multi-Criteria Optimization to Dynamic Molecular Alignment. Proceedings of IEEE-CEC 2007, Singapore; IEEE Press (CD-ROM)

Rui Li, Jeroen Eggermont, Michael T. M. Emmerich, Ernst G. P. Bovenkamp, Thomas Baeck, Jouke Dijkstra, Johan H. C. Reiber: Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis. EvoWorkshops 2007, LNCS 4448 Springer 2007: pp. 391-398

Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Ernst G.P. Bovenkamp, Thomas Baeck, Jouke Dijkstra, Johan H.C. Reiber. Mixed Integer NK Landscapes, LNCS-4193 Parallel Problem Solving from Nature - PPSN IX 9th International Conference Reykjavik, Iceland, September 9-13 2006 Proceedings (in print)

Juergen Jakumeit, Michael Emmerich, Fredy Hediger: Inverse Modeling and Numerical Optimization of Heater Temperatures in a Bridgman Process. Submitted to: Modeling of Casting, Welding and Advanced Solidification Processes XI (MCWASP Conference), May 28 - June 2, 2006, Opio, France.

Rui Li, Michael T.M. Emmerich, Jeroen Eggermont, Ernst G.P. Bovenkamp, Thomas Baeck, J. Dijkstra and J. H.C. Reiber: Mixed-Integer Optimization of Coronary Vessel Image Analysis Using Evolution Strategies; Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2006.

Ron Breukelaer, Michael Emmerich, and Thomas Baeck: On Interactive Evolution Strategies: Applications of Evolutionary Computing: Evo Workshops 2006 (EvoIASP) Proceedings, LNCS 3907, 2006, pp. 530-541

Rui Li, Michael T.M. Emmerich, Thomas Baeck, Ernst G.P. Bovenkamp, Jeroen Eggermont, Jouke Dijkstra and Johan H.C. Reiber: Optimizing Parameters of Intravascular Ultrasound Image Analysis Systems using Mixed-Integer Evolution Strategies ; 7th International Conference on Adaptive Computing in Design and Manufacture (ACDM 2006) Bristol, U.K.

Rui Li, Michael T.M. Emmerich, Ernst G.P. Bovenkamp, Jeroen Eggermont, Thomas Baeck, Jouke Dijkstra and Johan H.C. Reiber: Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis (best paper nomination) Applications of Evolutionary Computing: Evo Workshops 2006 (EvoIASP) Proceedings, LNCS 3907, pp. 415-426, 2006

Michael Emmerich, Andre Deutz: A family of Test Problems with Pareto-fronts of Variable Curvature Based on Super-spheres, MCDM 2006, Chania, Greece, June 19-23, 2006

Michael T.M. Emmerich, Maren Urselmann, Jochen Till, Guido Sand, and Sebastian Engell: Hybrid EA/MIP Method for Solving Two-stage Stochastic Programming Problems in Chemical Batch Scheduling, 7th International Conference on Adaptive Computing in Design and Manufacture (ACDM 2006) Bristol, U.K

Michael T. M. Emmerich, Jochen Hundemer, Mihai-Christian Varcol, Boris Naujoks, and Moustafa Abdel-Maksoud: Design Optimization of Ship Propellers by Means of Advanced Metamodel-Assisted Evolution Strategies, Proceedings ERCOFTAC 2006 Int'l Conference on Design Optimization, Las Palmas, Gran Canaria, 2006

Michael T.M. Emmerich, Ofer Shir, Thomas Baeck: Multi-criteria Optimization in Laser Pulse Shaping using Evolutionary Algorithms and Kriging Metamodels, MCDM 2006, Chania, Greece, June 19-23, 2006 (Extended Abstract)

Mihai. C. Varcol and Michael Emmerich. Metamodel-assisted Evolution Strategies Applied in Electromagnetics. In R. Schilling, W. Haase, J. Periaux, and H. Baier, editors, Proceedings EUROGEN'05 (CD-ROM). FLM, TU Munich, 2005

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. In L. Puigjaner, editor, Proc. European Symposium Computer Aided Process Engineering (ESCAPE-15), volume 20 A of Computer-Aided Chemical Engineering, pages 187-192, Elsevier, Amsterdam, 2005.

Mike Preuss, Lutz Schoenemann, and Michael Emmerich. Counteracting Genetic Drift and Disruptive Recombination in (m+/,l )-EA on Multimodal Fitness Landscapes. In H.-G. Beyer et al., editors, Proc. Genetic and Evolutionary Computation Conf. (GECCO 2005), Washington D.C., volume 1, pages 865-872, ACM Press, New York, 2005.

Boris Naujoks, Nicola Beume, and Michael Emmerich. Metamodel-Assisted SMSEMOA Applied to Airfoil Optimization Tasks. In R. Schilling, W. Haase, J. Periaux, and H. Baier, editors, Proceedings EUROGEN'05 (CD-ROM). FLM, TU Munich, 2005.

Boris Naujoks, Nicola Beume, and Michael Emmerich. Multi-objective Optimisation Using S-metric Selection: Application to Three-dimensional Solution Spaces. In B. McKay et al., editors, Proc. 2005 Congress on Evolutionary Computation (CEC'05), Edinburgh, Scotland, volume 2, pages 1282-1289, IEEE Press, Piscataway NJ, 2005.

Carsten Ernemann, Uwe Schwiegelshohn, Michael Emmerich, Lutz Schoenemann, and Nicola Beume. Scheduling Algorithm Development Based on Complex Owner Defined Objectives. Technical Report of the Collaborative Research Centre 531 Computational Intelligence CI-190/05, University of Dortmund, January 2005.

Michael Emmerich, Nicola Beume, and Boris Naujoks. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion. In C. A. Coello Coello, A. Hernández Aguirre, and E. Zitzler, editors, Proc. Evolutionary Multi-Criterion Optimization: Third Int'l Conference (EMO 2005), volume 3410 of Lecture Notes in Computer Science, pages 62-76, Springer, Berlin, 2005.

Lutz Schoenemann, Michael Emmerich, and Mike Preuss. On the Extiction of Subpopulations on Multimodal Landscapes. In B. Filipic and J. Šilc, editors, Proc. Int'l Conf. Bioinspired Optimization Methods and Their Applications (BIOMA'04), pages 31-40, Jozef Stefan Institute, Ljubljana, Slovenia, 2004.

Juergen Jakumeit and Michael Emmerich. Optimization of a Gas Turbine Blade Casting Using Evolution Strategies and Kriging. In B. Filipic and J. Šilc, editors, Proc. Int'l Conf. Bioinspired Optimization Methods and Their Applications (BIOMA'04), pages 95-104, Jozef Stefan Institute, Ljubljana, Slovenia, 2004.

Michael Emmerich and Boris Naujoks. Metamodel-assisted Multi-objective Optimisation with Implicit Constraints and Their Application in Airfoil Design. In Proc. Int'l Conf. ERCOFTAC'04, Athens (CD-ROM), CIMNE, Barcelona, 2004.

Michael Emmerich and Juergen Jakumeit. Metamodel-assisted Optimisation with Constraints: A Case Study in Material Process Design. In G. Bugeda, J. A. Desideri, J. Periaux, M. Schoenauer, and G. Winter, editors, Evolutionary Methods for Design, Optimization, and Control with Applications to Industrial Problems (CD-ROM). CIMNE, Barcelona, 2003.

Alexios Giotis, Michael Emmerich, Boris Naujoks, Kyriakos Giannakoglou, and Thomas Baeck. Low-cost Stochastic Optimization for Engineering Applications. In K. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou, and T. Fogarty, editors, Evolutionary Methods for Design, Optimization, and Control with Applications to Industrial Problems, pages 361-366. CIMNE, Barcelona, 2002.

Michael Emmerich, Lars Willmes, and Thomas Baeck. Asynchronous Evolution Strategies for Distributed Direct Optimisation. In K. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou, and T. Fogarty, editors, Evolutionary Methods for Design, Optimization, and Control with Applications to Industrial Problems, pages 53-58. CIMNE, Barcelona, 2002.

Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Baeck, and Kyriakos Giannakoglou. Metamodel-Assisted Evolution Strategies. In J. J. Merelo Guervós, P. Adamidis, H.-G. Beyer, J. L. Fernández-Villacañas, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VII, Proc. Seventh Int'l Conf., Granada, pages 361-370, Springer, Berlin, 2002

Thomas Baeck and Michael Emmerich. Evolution Strategies for Optimisation in Engineering Applications. In H.A. Mang, F.G. Rammerstorfer, and J. Eberhardsteiner, editors, Proc. Fifth World Congress on Computational Mechanics (WCCM V), Vienna, July 7-12, 2002. Int'l, Association for Computational Mechanics, 2002, Paper-ID: 81284.

Michael Emmerich, Monika Groetzner, Bernd Gross, and Martin Schuetz. Mixed-integer Evolution Strategy for Chemical Plant Optimization With Simulators. In I. C. Parmee, editor, Evolutionary Design and Manufacture - Selected papers from ACDM'00, pages 55-67, Springer, London, 2000.

Michael Emmerich, Bernd Gross, Frank Henrich, Peter Roosen, and Martin Schuetz. Global Optimization of Chemical Engineering Plants by Means of Evolutionary Algorithms. In Proc. Aspen World 2000: Optimizing the Manufacturing Enterprise, Aspen Technology, Cambridge MA, 2000. (CD-ROM).

Other publications

Michael Emmerich. Optimierung Verfahrenstechnischer Prozessstrukturen mit Evolutionären Algorithmen. Technical Report of the Systems Analysis Research Group SYS-7/99, University of Dortmund, Department of Computer Science, December 1999.

Michael Emmerich, Rafael Hosenberg. TEA - A C++ Library for the Design of Evolutionary Algorithms. Technical Report of the Collaborative Research Centre 531 Computational Intelligence CI-106/01, University of Dortmund, January 2001.

M. Emmerich, A.H. Deutz, J.W. Klinkenberg: The computation of the expected improvement in dominated hypervolume of Pareto front approximations , LIACS TR-4-2008, Leiden University, The Netherlands Dowload PDF