• Computational Intelligence in Games research group page
• Multimodal optimization research group page

• Dagstuhl Seminar on Artificial and Computational Intelligence in Games: Integration rescheduled to Monday, January 25 to Friday, January 30, 2015
• The Computational Intelligence in Games (CIG) conference 2014 was held in Dortmund! Proceedings and keynote talks are online.
• EvoGames 2012 2nd Call for Papers EvoGames is part of evo* 2012
• DETA @ GECCO 2012: Call for Papers Digital Entertainment and Arts track
• Our bot "Mr. Racer" dominates the 2011 car racing competition.
• Results of the 10-bot StarCraft AI competition tournament at CIG 2011 now online.

• Fachprojekt Digital Entertainment Technologies 1 (DET1)
• Fachprojekt Digital Entertainment Technologies 2 (DET2)

PG 554: Mobile Musik-Welten – Spielerische Exploration von digitalen Musiksammlungen. Sose 2011 - WiSe 2011/12 Advisors: Vatolkin, Preuß

(does not include tutorials and workshop articles)

• Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius (Eds.). Artificial and Computational Intelligence in Games. Dagstuhl Follow-Ups 6, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik 2013.

• Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius. Artificial and Computational Intelligence in Games (Dagstuhl Seminar 12191). In Dagstuhl Reports, volume 2, number 5, pp. 43-70. 2012.

• Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer. Guest Editors of Special Issue: Automated Design and Assessment of Heuristic Search Methods. In Evolutionary Computation Journal (ECJ). Volume 20, issue 2. MIT Press, 2012.

• Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan J. Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis. Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. In Lecture Notes in Computer Science, volume 7248. Springer, 2012.

• Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Hendrik Richter, Julian Togelius, Georgios N. Yannakakis. Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I. In Lecture Notes in Computer Science, volume 6624. Springer, 2011.

• Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss. Experimental Methods for the Analysis of Optimization Algorithms. Springer, 2010.

• Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss. Proceedings of the Workshop on Experimental Methods for the Assessment of Computational Systems, Krakow, Poland. Algorithm Engineering Reports, TR10-2-007, Technische Universität Dortmund, Germany, 2010.

• Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan J. Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis. Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I. In Lecture Notes in Computer Science, volume 6024. Springer, 2010.

• Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang: Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, Proceedings. In Lecture Notes in Computer Science, volume 5484. Springer, 2009.

• Julian Togelius, Alex J. Champandard, Pier Luca Lanzi, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley. Procedural Content Generation: Goals, Challenges and Actionable Steps. In Artificial and Computational Intelligence in Games 2013, pp. 61-75.

• Thomas Bartz–Beielstein, Mike Preuss. Experimental Analysis of Optimization Algorithms: Tuning and Beyond. In Theory and Principled Methods for Designing Metaheuristics, Springer, 2013.

• Markus Kemmerling, Niels Ackermann, Mike Preuss. Individualizing Planning Diplomacy Bots. In Believable Bots, pp. 265-288. Springer, 2012.

• Thomas Bartz-Beielstein, Mike Preuss. The Future of Experimental Research. In Experimental Methods for the Analysis of Optimization Algorithms, pp. 17-49. Springer, 2010.

• Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss. The Sequential Parameter Optimization Toolbox. In Experimental Methods for the Analysis of Optimization Algorithms, pp. 337-362. Springer, 2010.

• Thomas Bartz-Beielstein, Mike Preuss, Karl-Heinz Schmitt, Hans-Paul Schwefel. Model Optimization with Evolutionary Algorithms. In Klaus Lucas and Peter Roosen, editors, Emergence, Analysis and Evolution of Structures—Concepts and Strategies Across Disciplines, Series Understanding Complex Systems, pp. 47-62. Springer, 2010.

• Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, and D. Dumitrescu. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. In A. E. Hassanien and A. Abraham, editors, Foundations of Computational Intelligence Volume 1, volume 201/2009 of Studies in Computational Intelligence, pp. 315-347. Springer, 2009.

• Mike Preuss, Thomas Bartz-Beielstein. Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms. In Parameter Setting in Evolutionary Algorithms, Studies in Computational Intelligence, volume 54/2007. pp. 91-119. Springer, 2007.

• Thomas Bartz-Beielstein, Mike Preuss, S. Markon. Validation and optimization of an elevator simulation model with modern search heuristics. In Metaheuristics: Progress as Real Problem Solvers, pp. 109-128. Kluwer Academic Publishers, 2005.

• Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs. Analyzing the BBOB Results by Means of Benchmarking Concepts. In Evolutionary Computation Journal, Volume 23, Issue 1, pp. 161-185. 2015.

• Jan Quadflieg, Mike Preuss, Günter Rudolph. Driving as a human: a track learning based adaptable architecture for a car racing controller. In Genetic Programming and Evolvable Machines, Volume 15 Issue 4, pp. 433-476. 2014

• Santiago Ontanon, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss. A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft. In IEEE Transactions on Computational Intelligence and AI in Games, Volume 5, Issue 4, pp. 293-311. 2013.

• Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, and Corrado Grappiolo. Controllable procedural map generation via multiobjective evolution. In Genetic Programming and Evolvable Machines, Volume 14, Issue 2. 2013.

• Igor Vatolkin, Mike Preuss, Günter Rudolph, Markus Eichhoff, Claus Weihs. Multi-objective evolutionary feature selection for instrument recognition polyphonic audio mixtures. In Soft Comput, Volume 16, Issue 12, pp. 2027-2047. 2012.

• Mike Preuss, Nicola Beume, Holger Danielsiek, Tobias Hein, Boris Naujoks, Nico Piatkowski, Raphael Stüer, Andreas Thom, Simon Wessing. Towards Intelligent Team Composition and Maneuvering in Realtime Strategy Games. In IEEE Transactions on Computational Intelligence and AI in Games, Volume 2, Issue 2, pp. 82-96. 2010.

• Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Saez, Mike Preuss, Jan Quadflieg. The 2009 Simulated Car Racing Championship. In IEEE Transactions on Computational Intelligence and AI in Games, Volume 2, Issue 2, pp. 131-147. 2010.

• Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu Multimodal Optimization by Means of a Topological Species Conservation Algorithm. In IEEE Transactions on Evolutionary Computation, Volume 14, Issue 6, pp. 842-864. 2010

• Heike Trautmann, Tobias Wagner, Boris Naujoks, Mike Preuß, Jörn Mehnen. Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. In Evolutionary Computation, Volume 17, Issue 4, pp. 493-509, 2009.

• Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia E-Darzi, Dumitru Dumitrescu. Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society, Volume 60, Issue 8, pp. 1116-1122, 2009.

• Catalin Stoean, Mike Preuss, Ruxandra Stoean. Species Separation by a Clustering Mean towards Multimodal Function Optimization. In Annals of University of Craiova, Math. Compt. Sci. Ser., Volume 36, Issue 2, pp. 53-62, 2009.

• Frank Henrich, Claude Bouvy, Christoph Kausch, Klaus Lucas, Mike Preuß, Günter Rudolph, Peter Roosen. Economic optimization of non-sharp separation sequences by means of evolutionary algorithms. In Computers & Chemical Engineering, Volume 32, Issue 7, pp. 1411-1432. Elsevier, 2008.

• Ruxandra Stoean, Catalin Stoean, Mike Preuss, Dumitru Dumitrescu. Evolutionary detection of separating hyperplanes in e-mail classification. In Acta Cibiniensis, LV:41-46, 2007.

• Catalin Stoean, Ruxandra Stoean, Mike Preuss, Dumitru Dumitrescu. A cooperative evolutionary algorithm for classification. In International Journal of Computers, Communications & Control, (Supplementary Issue, International Conference on Computers and Communications - ICCC 2006) pp. 417-422, 2006.

• Ruxandra Stoean, Catalin Stoean, Mike Preuss, Dumitru Dumitrescu. Evolutionary multi-class support vector machines for classification. In International Journal of Computers, Communications & Control, (Supplementary Issue, International Conference on Computers and Communications - ICCC 2006) pp. 423-428, 2006.

• Ruxandra Stoean, Catalin Stoean, Mike Preuss, Dumitru Dumitrescu. Forecasting Soybean Diseases from Symptoms by Means of Evolutionary Support Vector Machines. In Phytologia Balcanica, Volume 12, Issue 3, pp. 345-350, 2006.

• Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, Dumitru Dumitrescu. An evolutionary learning classifier system applied to text categorization. In Annal of West University of Timisoara, Mathematics and Computer Science Series, XLII(special issue 1) pp. 265-278, 2004.

• Lutz Schönemann, Michael Emmerich, Mike Preuss. On the extinction of evolutionary algorithm subpopulations on multimodal landscapes. In Informatica (Slovenia), Volume 28, Issue 4, pp. 345-351, 2004.

• Mike Preuss, Antonios Liapis and Julian Togelius. Searching for Good and Diverse Game Levels. In CIG 2014, IEEE.

• Paolo Burelli, Mike Preuss. Automatic Virtual Cinematography: a Dynamic Multi-Objective Optimisation Perspective. In EvoApplications 2014, Springer.

• Mike Preuss, Philip Voll, André Bardow, Günter Rudolph. Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure. In EvoApplications 2014, Springer.

• Pascal Kerschke, Mike Preuss, Carlos Hernandez, Oliver Schütze, Jian-Qiao Sun, Christian Grimme, Günter Rudolph, Bernd Bischl, Heike Trautmann. Cell Mapping Techniques for Exploratory Landscape Analysis. In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer, 2014.

• Matthias Kuchem, Mike Preuss and Günter Rudolph. Multi-Objective Assessment of Pre-Optimized Build Orders exemplied for StarCraft 2. In Computational Intelligence in Games (CIG) 2013, IEEE.

• Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann. Reactive Strategy Choice in StarCraft by Means of Fuzzy Control. In Computational Intelligence in Games (CIG) 2013, IEEE.

• Mike Preuss, Simon Wessing. Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques. In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, Advances in Intelligent Systems and Computing, Volume 227, pp. 123–137, Springer, 2013.

• Simon Wessing, Mike Preuss, Günter Rudolph. Niching by Multiobjectivization with Neighbor Information: Trade-offs and Benefits. In IEEE Congress on Evolutionary Computation (CEC), pp. 103-110, IEEE, 2013.

• Annika Jordan, Dimitri Scheftelowitsch, Jan Lahni, Jannic Hartwecker, Matthias Kuchem, Mirko Walter-Huber, Nils Vortmeier, Tim Delbrügger, Ümit Güler, Igor Vatolkin, Mike Preuss BeatTheBeat music-based procedural content generation in a mobile game. In CIG 2012, pp. 320-327. IEEE, 2012

• Mike Preuss, Tobias Wagner, David Ginsbourger. On the Use of Kriging for Modeling High-Dimensional Noisy Observations of Computer Games. In Proceedings of the LION6 conference, Lecture Notes in Computer Science, pp. 145-159. 2012.

• Mike Preuss, Paolo Burelli, Georgios N. Yannakakis. Diversified Virtual Camera Composition. In EvoApplications 2012, pp. 265-274. Springer, 2012

• Mike Preuss. Improved Topological Niching for Real-Valued Global Optimization. In EvoApplications 2012, pp. 386-395. Springer, 2012

• Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preuß. Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. In GECCO 2012, pp. 313-320. ACM, 2012

• Mike Preuss, Jan Quadflieg, Günter Rudolph. TORCS Sensor Noise Removal and Multi-objective Track Selection for Driving Style Adaptation. In: Proceedings of the IEEE 2011 Conference on Computational Intelligence and Games, pp. 337-344. 2011.

• Philip Hingston, Mike Preuss. Red teaming with coevolution. In: IEEE Congress on Evolutionary Computation, pp. 1155-1163, 2011.

• Simon Wessing, Mike Preuss, Günter Rudolph. When Parameter Tuning Actually is Parameter Control. In GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp. 821–828, 2011.

• Igor Vatolkin, Mike Preuss, Günter Rudolph. Multi-objective feature selection in music genre and style recognition tasks. In GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp. 411–418, 2011.

• Mike Preuss, Catalin Stoean, Ruxandra Stoean. Niching foundations: basin identification on fixed-property generated landscapes. In GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp. 837–844, 2011.

• Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph. Exploratory Landscape Analysis. In GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp. 829-836, 2011.

• Jan Quadflieg, Mike Preuss, Günter Rudolph. Driving Faster Than a Human Player. In EvoApplications (1), Lecture Notes in Computer Science, Volume 6624/2011, pp. 143-152, 2011.

• Markus Kemmerling, Niels Ackermann und Mike Preuss. Nested Look-Ahead Evolutionary Algorithm Based Planning for a Believable Diplomacy Bot. In EvoApplications (1), Lecture Notes in Computer Science, Volume 6624/2011, pp. 83-92, 2011.

• Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, and Georgios N. Yannakakis. Multiobjective Exploration of the StarCraft Map Space. IEEE Conference On Computational Intelligence and Games (CIG), IEEE press, 2010.

• Markus Kemmerling and Mike Preuss. Automatic Adaptation to Generated Content Via Car Setup Optimization in TORCS. IEEE Conference On Computational Intelligence and Games (CIG), IEEE press, 2010.

• Jan Quadflieg, Mike Preuss, Oliver Kramer and Günter Rudolph. Learning the Track and Planning Ahead in a Car Racing Controller. IEEE Conference On Computational Intelligence and Games (CIG), IEEE press, 2010.

• Philip Hingston, Mike Preuss, and Daniel Spierling. RedTNet: A Network Model for Strategy Games. Proc. of the 2010 IEEE Conference on Evolutionary Computation (CEC), part of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), IEEE Press, 2010.

• Mike Preuss, Günter Rudolph, Simon Wessing. Tuning Optimization Algorithms for Real-World Problems by Means of Surrogate Modeling. In GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pp. 401–408, 2010.

• Julian Togelius, Mike Preuss, Georgios N. Yannakakis. Towards multiobjective procedural map generation, Proceedings of the ACM Foundations of Digital Games, ACM Press, 2010.

• Bernd Bischl, Igor Vatolkin, Mike Preuss. Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. In Parallel Problem Solving from Nature – PPSN XI, Proceedings, Lecture Notes in Computer Science, Volume 6238/2011, pp. 314-323, Springer, 2011

• Olaf Mersmann, Mike Preuss, Heike Trautmann. Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. In Parallel Problem Solving from Nature – PPSN XI, Proceedings, Lecture Notes in Computer Science, Volume 6238/2011, pp. 73-82, Springer, 2011

• Markus Kemmerling, Niels Ackermann, Nicola Beume, Mike Preuss, Sebastian Uellenbeck, Wolfgang Walz. Is Human-like and Well Playing Contradictory for Diplomacy Bots?, Proc. of the IEEE Symposium on Computational Intelligence and Games (CIG 2009), p. 209-216, IEEE Press, 2009.

• Nicola Beume, Boris Naujoks, Mike Preuss, Günter Rudolph, and Tobias Wagner. Effects of 1-Greedy S-Metric-Selection on Innumerably Large Pareto Fronts, Proc. Evolutionary Multi-Criterion Optimization, 5rd Int'l Conf. (EMO 2009), LNCS 5467, p. 21-35, Springer, 2009.

• Ofer M. Shir, Mike Preuss, Boris Naujoks, and Michael T. M. Emmerich. Enhancing decision space diversity in evolutionary multiobjective algorithms. In M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, editors, Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, volume 5467 of Lecture Notes in Computer Science, pp. 95-109. Springer, 2009.

• Mike Preuss. Adaptability of algorithms for real-valued optimization. In M. Giacobini et al., editors, Applications of Evolutionary Computing, EvoWorkshops 2009. Proceedings, volume 5484 of Lecture Notes in Computer Science, pp. 665-674, Springer, 2009. (Evonum'09 best paper award)

• Günter Rudolph and Mike Preuss. A multiobjective approach for finding equivalent inverse images of pareto-optimal objective vectors. In C. Coello Coello, P. Bonissone, and Y. Jin, editors, 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM 2009), pp. 74-79, IEEE Press, 2009.

• Heike Trautmann, Boris Naujoks, Mike Preuss. Multi-Objective Quality Assessment for EA Parameter Tuning. In Classification as a Tool for Research, Studies in Classification, Data Analysis, and Knowledge Organization, Part 3, Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., 2009, pp. 793-800, Springer, 2010

• Catalin Stoean, Ruxandra Stoean, Mike Preuss. Approximating the number of attraction basins of a function by means of clustering and evolutionary algorithms. In 8th International Conference on Artificial Intelligence and Digital Communications (AIDC 2008), pp. 171-180, Reprograph Press, 2008.

• Christoph Kausch, Mike Preuss, Claude Bouvy, and Frank Henrich. Multi-criteria pareto optimised planning method for distillation plants with nonsharp splits. In ECOS 2008, pp. 773-780, AGH University of Science & Technology, 2008.

• Holger Danielsiek, Raphael Stüer, Andreas Thom, Nicola Beume, Boris Naujoks, Mike Preuss. Intelligent Moving of Groups in Real-Time Strategy Games. Proc. of the IEEE Symposium on Computational Intelligence and Games (CIG 2008), p. 71-78. IEEE Press, 2008.

• Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing. Intelligent Anti-Grouping in Real-Time Strategy Games. Proc. of the IEEE Symposium on Computational Intelligence and Games (CIG 2008), p. 63-70. IEEE Press, 2008.

• Nicola Beume, Tobias Hein, Boris Naujoks, Georg Neugebauer, Nico Piatkowski, Mike Preuss, Raphael Stüer, Andreas Thom. To Model or Not to Model: Controlling Pac-Man Ghosts Without Incorporating Global Knowledge. Proc. of the 2008 IEEE Congress on Evolutionary Computation (CEC 2008), pp. 3463-3470. IEEE Press, 2008.

• Nicola Beume, Holger Danielsiek, Christian Eichhorn, Boris Naujoks, Mike Preuss, Klaus Stiller, Simon Wessing. Measuring Flow as Concept for Detecting Game Fun in the Pac-Man Game. Proc. of the 2008 IEEE Congress on Evolutionary Computation (CEC 2008), pp. 3447-3454. IEEE Press, 2008.

• Jens Jägersküpper, Mike Preuss. Aiming for a theoretically tractable CSA variant by means of empirical investigations. In Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO '08, pp. 503-510. ACM, 2008. ( Best paper award ESEP track )

• Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu. EA-Powered Basin Number Estimation by Means of Preservation and Exploration. In Parallel Problem Solving from Nature – PPSN X Lecture Notes in Computer Science, volume 5199/2008, pp. 569-578. Springer, 2008.

• Heike Trautmann, Uwe Ligges, Jörn Mehnen, Mike Preuss. A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. In Parallel Problem Solving from Nature – PPSN X Lecture Notes in Computer Science, volume 5199/2008, pp. 825-836. Springer, 2008.

• Jens Jägersküpper, Mike Preuss. Empirical Investigation of Simplified Step-Size Control in Metaheuristics with a View to Theory. In Experimental Algorithms, Lecture Notes in Computer Science, volume 5038/2008, pp. 263-274. Springer, 2008.

• Mike Preuss, Christoph Kausch, Claude Bouvy, Frank Henrich. Decision Space Diversity Can Be Essential for Solving Multiobjective Real-World Problems. In Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, Lecture Notes in Economics and Mathematical Systems, volume 634, pp. 367-377. Springer, 2010.

• Claude Bouvy, Christoph Kausch, Mike Preuss, Frank Henrich. On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems. In Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, Lecture Notes in Economics and Mathematical Systems, volume 634, pp. 3-12. Springer, 2010.

• Catalin Stoean, Ruxandra Stoean, Mike Preuss, Dumitru Dumitrescu. Competitive coevolution for classification. In 7th International Conference on Artificial Intelligence and Digital Communications (AIDC 2007), pp. 28-39, Repograph Press, 2007.

• Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu. Disburdening the species conservation evolutionary algorithm of arguing with radii. In Proceedings of the 9th annual conference on Genetic and evolutionary computation, GECCO '07, pp. 1420-1427. ACM, 2007.

• Markus Chimani, Maria Kandyba, Mike Preuss. Hybrid Numerical Optimization for Combinatorial Network Problems. In Hybrid Metaheuristics 2007, Lecture Notes in Computer Science, Volume 4771/2007, pp. 185-200. Springer, 2007.

• Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu. Concerning the potential of evolutionary support vector machines. In IEEE Congress on Evolutionary Computation 2007, pp. 1436-1443. IEEE Press, 2007.

• Mike Preuss, Günter Rudolph, Feelly Tumakaka. Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection. In IEEE Congress on Evolutionary Computation 2007, pp. 2703-2710. IEEE Press, 2007.

• Günter Rudolph, Boris Naujoks, Mike Preuss. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. In EMO 2007, pp. 36-50. Springer, 2007.

• Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean. Different techniques of multi-class evolutionary support vector machines. In Bio-Inspired Computing: Theory and Applications (BIC-TA 2006), pp. 299-306, 2006.

• Catalin Stoean, Dumitru Dumitrescu, Mike Preuss, Ruxandra Stoean. Cooperative coevolution for classification. In Bio-Inspired Computing: Theory and Applications (BIC-TA 2006), pp. 289-298, 2006.

• Ruxandra Stoean, Catalin Stoean, Mike Preuss, Elia El-Darzi, Dumitru Dumitrescu. Evolutionary Support Vector Machines for Diabetes Mellitus Diagnosis. In Proceedings 3rd International IEEE Conference on Intelligent Systems - IS 2006, pp. 182-187, IEEE Press, 2006.

• Ruxandra Stoean, Catalin Stoean, Mike Preuss, Dumitru Dumitrescu. Evolutionary Support Vector Machines for Spam Filtering. In RoEduNet IEEE International Conference, pp. 261-266, 2006.

• Catalin Stoean, Ruxandra Stoean, Mike Preuss, Dumitru Dumitrescu. Spam Filtering by Means of Cooperative Coevolution. In 4th European Conference on Intelligent Systems and Technologies, ECIT 2006, pp. 157-159. Performantica Press, 2006.

• Mike Preuss. Niching Prospects. In Bioinspired Optimization Methods and their Applications (BIOMA 2006), pp. 25-34. Jozef Stefan Institute, Ljubljana, Slovenia, 2006

• Mario Giacobini, Mike Preuss, Marco Tomassini. Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA. In EvoCOP 2006, pp. 86-98. Springer, 2006.

• Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph. Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. In Hybrid Metaheuristics 2006, pp. 178-191. Springer, 2006.

• Mike Preuss, Boris Naujoks, Günter Rudolph. Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. In PPSN 2006, pp. 513-522. Springer, 2006.

• Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean. Cooperative Evolution of Rules for Classification. In SYNASC 2006, pp. 317-322. IEEE Press, 2006.

• Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean. Evolutionary Support Vector Regression Machines. In SYNASC 2006, pp. 330-335. IEEE Press, 2006.

• Catalin Stoean, Ruxandra Stoean, Mike Preuss, Dumitru Dumitrescu. Diabetes diagnosis through the means of a multimodal evolutionary algorithm. In Proc. 1st East European Conference on Health Care Modelling and Computation (HCMC'2005), pp. 277-289, Medical University Press, 2005.

• Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss. Sequential parameter optimization. In CEC 2005, pp. 773-780. IEEE Press, 2005.

• Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu. Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. In CEC 2005, pp. 1839-1846. IEEE Press, 2005.

• Mike Preuss, Lutz Schönemann, Michael Emmerich. Counteracting genetic drift and disruptive recombination in (µ+,lambda)-EA on multimodal fitness landscapes. In GECCO 2005, pp. 865-872. ACM, 2005.

• Lutz Schönemann, Michael Emmerich, Mike Preuss. On the extiction of sub-populations on multimodal landscapes. In Proc. Int'l Conf. Bioinspired Optimization Methods and their Applications (BIOMA'04), pp. 31-40. Jozef Stefan Institute, Ljubljana, Slovenia, 2006.

• Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, Dumitru Dumitrescu. An evolutionary learning spam filter system. In Proceedings 6th International Symposium, SYNASC04, Symbolic and Numeric Algorithms for Scientific Computing, pp. 512-522, Mirton Publishing House, 2004.

• Catalin Stoean, Ruxandra Gorunescu, Mike Preuss, Dumitru Dumitrescu. Evolutionary detection of rules for text categorization. application to spam filtering. In Third European Conference on Intelligent Systems and Technologies - ECIT'2004, pp. 87-95. Performantica Press, 2004.

• Mike Preuss, Christian Lasarczyk. On the Importance of Information Speed in Structured Populations. In PPSN 2004, pp. 91-100. Springer, 2004.

• Thomas Beielstein, Sandor Markon, Mike Preuß. Algorithm based validation of a simplified elevator group controller model. In 5th Metaheuristics Int'l Conf. (MIC'03), pp. 06/1-06/13, 2003.

• Thomas Beielstein, Sandor Markon, Mike Preuß. A parallel approach to elevator optimization based on soft computing. In 5th Metaheuristics Int'l Conf. (MIC'03), pp. 07/1-07/11, 2003.

• Márk Jelasity, Mike Preuß, Maarten van Steen, Ben Paechter. Maintaining Connectivity in a Scalable and Robust Distributed Environment. In CCGRID 2002, pp. 389-394. IEEE Press, 2002.

• Márk Jelasity, Mike Preuß. On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment. In Euro-Par 2002, pp. 573-577. Springer, 2002.

• Márk Jelasity, Mike Preuß, Agoston E. Eiben. Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment. In PPSN 2002, pp. 172-183. Springer, 2002.

• Maribel García Arenas, Pierre Collet, Agoston E. Eiben, Márk Jelasity, Juan J. Merelo Guervós, Ben Paechter, Mike Preuß, Marc Schoenauer. A Framework for Distributed Evolutionary Algorithms. In PPSN 2002, pp. 665-675. Springer, 2002.

• Márk Jelasity, Mike Preuss, and B. Paechter. A scalable and robust framework for distributed applications. In CEC 2002, pp. 1540-1545, IEEE Press, 2002.

• Thomas Bäck, Agoston E. Eiben, Jeanine de Graaf, Mike Preuss, Adrian Schippers, Henk Taale. Optimizing traffic light controllers with evolutionary algorithms. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing, pp. 1730-1734, Verlag Mainz, Aachen, 1998.

• Mike Preuss, Günter Rudolph. IEEE CIG 2014 conference report. In IEEE Computational Intelligence Magazine, volume 10, issue 1, pp. 14-15. IEEE, 2015.

• Günter Rudolph, Mike Preuss, Jan Quadflieg. Two-layered surrogate modeling for tuning metaheuristics. In ENBIS/EMSE Conference Design and Analysis of Computer Experiments, Saint-Etienne (France), July 1-3, 2009.

• Mike Preuss, Nicola Beume. Learning from failures in evolutionary computation @ GECCO-2009: events reports. In SIGEVOlution, volume 3, number 4, pp. 16-18. ACM, 2008.

• Günter Rudolph, Mike Preuss. Ein Evolutionsverfahren zur Approximation äquivalenter Urbilder von pareto-optimalen Zielvektoren. In Proc. 18th GMA Workshop Computational Intelligence, pp. 30-39. Universitätsverlag, Karlsruhe, 2008 (in German)

• VL Huang, AK Qin, K Deb, E Zitzler, PN Suganthan, JJ Liang, M Preuss, S Huband. Problem definitions for performance assessment of multi-objective optimization algorithms. Nanyang Technological University, Singapore, Tech. Rep. 2007

• Mike Preuss. Reporting on Experiments in Evolutionary Computation. Technical Report CI-221/07, University of Dortmund, SFB 531, 2007.

• Marco Chiarandini, Luis Paquete, Mike Preuss, Enda Ridge. Experiments on Metaheuristics: Methodological overview and open issues. Technical Report DMF-2007-03-003, The Danish Mathematical Society, 2007.

• Günter Rudolph, Mike Preuss. Ein mehrkriterielles Evolutionsverfahren zur Bestimmung des Phasengleichgewichts von gemischten Flüssigkeiten. In Proc. 17th Workshop Computational Intelligence, pp. 177-185. Universitätsverlag, Karlsruhe, 2007 (in German).

• Mike Preuss, Boris Naujoks. Evolutionäre mehrkriterielle optimierung bei Anwendungen mit nichtzusammenhängenden Pareto-mengen. In Proc. 17th Workshop Computational Intelligence, pp. 165-176. Universitätsverlag, Karlsruhe, 2007 (in German).

• Ben Paechter, Jennifer Willies, Mike Preuss. Prologue. In Hans-Paul Schwefel - Festschrift, University of Dortmund, Chair of Systems Analysis, 2006.

• Thomas Bartz-Beielstein, Mike Preuss. Moderne Methoden zur experimentellen Analyse evolutionärer Verfahren. In Proc. 16th Workshop Computational Intelligence, pp. 25-32. Universitätsverlag, Karlsruhe, 2006 (in German).

• Mike Preuss. Solving map labeling problems by means of evolution strategies, Diploma Thesis, University of Dortmund, Chair of Systems Analysis, 1998.

• PPSN 2014 tutorial on Multimodal Optimization
• COSEAL 2 workshop Freiburg, Sep-29 with Heike Trautmann

• CIG 2012: Beat the Beat paper
• CIG 2012 StarCraft competition results (pptx)
• GECCO 2012 tutorial on Computational Intelligence in Games with Daniele Loiacono
• EvoGames 2012: Diversied Virtual Camera Composition paper

• CIG 2011 tutorial on Experimentation in CI-Affected Games Research