Mike Preuss - RankMe

232 papers A* 1A 18B 16C 25Misc 3Journal 78Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In Trust We Survive: Emergent Trust Learning. CoRR Qianpu Chen, Giulio Barbero, Mike Preuss, Derya Soydaner
2025	J	`jnl`	Agentic Large Language Models, a Survey. J. Artif. Intell. Res. Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025	J	`jnl`	Agentic Large Language Models, a survey. CoRR Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025	J	`jnl`	Atom-anchored LLMs speak Chemistry: A Retrosynthesis Demonstration. CoRR Alan Kai Hassen, Andrius Bernatavicius, Antonius P. A. Janssen, Mike Preuss, Gerard J. P. van Westen, Djork-Arné Clevert
2025	—	`conf`	Cascading CMA-ES Instances for Generating Input-diverse Solution Batches. GECCO Companion Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuss, Elena Raponi
2025	J	`jnl`	Cascading CMA-ES Instances for Generating Input-diverse Solution Batches. CoRR Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuss, Elena Raponi
2025	J	`jnl`	Generate what you can make: achieving in-house synthesizability with readily available resources in de novo drug design. J. Cheminformatics Alan Kai Hassen, Martin Sícho, Yorick J. van Aalst, Mirjam C. W. Huizenga, Darcy N. R. Reynolds, Sohvi Luukkonen, Andrius Bernatavicius, Djork-Arné Clevert, Antonius P. A. Janssen, Gerard J. P. van Westen, Mike Preuss
2025	J	`jnl`	Guiding Skill Discovery with Foundation Models. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Vincent François-Lavet, Edward S. Hu
2025	J	`jnl`	Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents. J. Mach. Learn. Res. Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2025	J	`jnl`	Playing Pokémon Red via Deep Reinforcement Learning. CoRR Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden
2025	C	`conf`	Pokémon Red via Reinforcement Learning. CoG Marco Pleines, Daniel Addis, David Rubinstein, Frank Zimmer, Mike Preuss, Peter Whidden
2025	C	`conf`	Quantum Checkers: The Development and Analysis of a Quantum Combinatorial Game. CoG Marien Raat, Luuk Van Den Nouweland, Matthias Müller-Brockhausen, Mike Preuss, Evert P. L. van Nieuwenburg
2025	J	`jnl`	Reset-free Reinforcement Learning with World Models. Trans. Mach. Learn. Res. Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2025	C	`conf`	Towards a Celeste AI Framework: Agent-free Automated 2D Level Generation for Multidirectional Platformers. FDG Louis Robinet, Marcello A. Gómez Maureira, Mike Preuss
2024	J	`jnl`	AlphaFold Meets De Novo Drug Design: Leveraging Structural Protein Information in Multitarget Molecular Generative Models. J. Chem. Inf. Model. Andrius Bernatavicius, Martin Sícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuss, Gerard J. P. van Westen
2024	—	`ed.`	Disinformation in Open Online Media - 6th Multidisciplinary International Symposium, MISDOOM 2024, Münster, Germany, September 2-4, 2024, Proceedings MISDOOM Mike Preuss, Agata Leszkiewicz, Jean-Christopher Boucher, Ofer Fridman, Lucas Stampe
2024	J	`jnl`	Editorial for the Special Issue on Reproducibility. Evol. Comput. Manuel López-Ibáñez, Luís Paquete, Mike Preuss
2024	—	`conf`	Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. GECCO Companion Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
2024	J	`jnl`	Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization. CoRR Maria Laura Santoni, Elena Raponi, Aneta Neumann, Frank Neumann, Mike Preuss, Carola Doerr
2024	A	`conf`	New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
2024	C	`conf`	Terrain-adaptive PCGML in Minecraft. CoG Arthur van der Staaij, Mike Preuss, Christoph Salge
2024	C	`conf`	The Effect of LLM-Based NPC Emotional States on Player Emotions: An Analysis of Interactive Game Play. CoG Alessandro Marincioni, Myriana Miltiadous, Katerina Zacharia, Rick Heemskerk, Georgios Doukeris, Mike Preuss, Giulio Barbero
2024	J	`jnl`	World Models Increase Autonomy in Reinforcement Learning. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2023	J	`jnl`	Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2023	C	`conf`	Believable Minecraft Settlements by Means of Decentralised Iterative Planning. CoG Arthur van der Staaij, Jelmer Prins, Vincent L. Prins, Julian Poelsma, Thera Smit, Matthias Müller-Brockhausen, Mike Preuss
2023	J	`jnl`	Believable Minecraft Settlements by Means of Decentralised Iterative Planning. CoRR Arthur van der Staaij, Jelmer Prins, Vincent L. Prins, Julian Poelsma, Thera Smit, Matthias Müller-Brockhausen, Mike Preuss
2023	C	`conf`	Chatter Generation through Language Models. CoG Matthias Müller-Brockhausen, Giulio Barbero, Mike Preuss
2023	C	`conf`	Continuous Episodic Control. CoG Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	DBCC2: an improved difficulty-based cooperative co-evolution for many-modal optimization. Complex Intell. Syst. Yingying Qiao, Wenjian Luo, Xin Lin, Peilan Xu, Mike Preuss
2023	C	`conf`	Designing for Playfulness in Human-AI Authoring Tools. FDG Antonios Liapis, Christian Guckelsberger, Jichen Zhu, Casper Harteveld, Simone Kriglstein, Alena Denisova, Jeremy Gow, Mike Preuss
2023	—	`conf`	Exploratory Landscape Analysis. GECCO Companion Pascal Kerschke, Mike Preuss
2023	—	`conf`	First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. ICAART (2) Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	High-accuracy model-based reinforcement learning, a survey. Artif. Intell. Rev. Aske Plaat, Walter A. Kosters, Mike Preuss
2023	J	`jnl`	Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes. CoRR Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2023	A*	`conf`	Memory Gym: Partially Observable Challenges to Memory-Based Agents. ICLR Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2023	J	`jnl`	Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning. CoRR Paula Torren-Peraire, Alan Kai Hassen, Samuel Genheden, Jonas Verhoeven, Djork-Arné Clevert, Mike Preuss, Igor V. Tetko
2023	C	`conf`	QuestVille: Procedural Quest Generation Using NLP Models. FDG Suzan Al-Nassar, Anthonie Schaap, Michael Van Der Zwart, Mike Preuss, Marcello A. Gómez Maureira
2023	C	`conf`	StoryWorld: Procedural Quest Generation Rooted in Variety & Believability. FDG Vincent L. Prins, Jelmer Prins, Mike Preuss, Marcello A. Gómez Maureira
2023	C	`conf`	Two-Memory Reinforcement Learning. CoG Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	Two-Memory Reinforcement Learning. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2022	J	`jnl`	Continuous Episodic Control. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2022	J	`jnl`	First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2022	J	`jnl`	Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization. CoRR Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
2022	J	`jnl`	Hybridizing Niching, Particle Swarm Optimization, and Evolution Strategy for Multimodal Optimization. IEEE Trans. Cybern. Wenjian Luo, Yingying Qiao, Xin Lin, Peilan Xu, Mike Preuss
2022	C	`conf`	Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. FDG Christoph Salge, Claus Aranha, Adrian Brightmoore, Sean Butler, Rodrigo De Moura Canaan, Michael Cook, Michael Cerny Green, Hagen Fischer, Christian Guckelsberger, Jupiter Hadley, Jean-Baptiste Hervé, Mark Richard Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius
2022	J	`jnl`	Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction. CoRR Alan Kai Hassen, Paula Torren-Peraire, Samuel Genheden, Jonas Verhoeven, Mike Preuss, Igor V. Tetko
2022	—	`conf`	New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication. MISDOOM Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, Mike Preuss
2022	C	`conf`	On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoG Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
2022	J	`jnl`	On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoRR Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
2022	J	`jnl`	Reliable validation of Reinforcement Learning Benchmarks. CoRR Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss
2022	C	`conf`	Towards verifiable Benchmarks for Reinforcement Learning. CoG Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss
2022	J	`jnl`	When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2021	C	`conf`	A New Challenge: Approaching Tetris Link with AI. CoG Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
2021	B	`conf`	A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. CEC Wenjian Luo, Xin Lin, Jiajia Zhang, Mike Preuss
2021	—	`conf`	Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning. PRICAI (3) Hui Wang, Mike Preuss, Aske Plaat
2021	J	`jnl`	Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning. CoRR Hui Wang, Mike Preuss, Aske Plaat
2021	J	`jnl`	An Analysis of Phenotypic Diversity in Multi-Solution Optimization. CoRR Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
2021	J	`jnl`	Guest Editorial Special Issue on Team AI in Games. IEEE Trans. Games Maxim Mozgovoy, Mike Preuss, Rafael Bidarra
2021	J	`jnl`	High-Accuracy Model-Based Reinforcement Learning, a Survey. CoRR Aske Plaat, Walter A. Kosters, Mike Preuss
2021	J	`jnl`	Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. CoRR Christoph Salge, Claus Aranha, Adrian Brightmoore, Sean Butler, Rodrigo Canaan, Michael Cook, Michael Cerny Green, Hagen Fischer, Christian Guckelsberger, Jupiter Hadley, Jean-Baptiste Hervé, Mark Richard Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius
2021	—	`book`	Metaheuristics for Finding Multiple Solutions Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend
2021	—	`ch.`	Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. Metaheuristics for Finding Multiple Solutions Mike Preuss, Michael Epitropakis, Xiaodong Li, Jonathan E. Fieldsend
2021	J	`jnl`	Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
2021	J	`jnl`	Potential-based Reward Shaping in Sokoban. CoRR Zhao Yang, Mike Preuss, Aske Plaat
2021	J	`jnl`	Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game. IEEE Trans. Games Karsten Rothmeier, Nicolas Pflanzl, Joschka Andreas Hüllmann, Mike Preuss
2021	C	`conf`	Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoG Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
2021	J	`jnl`	Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoRR Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
2021	J	`jnl`	Team Sports for Game AI Benchmarking Revisited. Int. J. Comput. Games Technol. Maxim Mozgovoy, Mike Preuss, Rafael Bidarra
2021	—	`conf`	Transfer Learning and Curriculum Learning in Sokoban. BNAIC/BENELEARN Zhao Yang, Mike Preuss, Aske Plaat
2021	J	`jnl`	Transfer Learning and Curriculum Learning in Sokoban. CoRR Zhao Yang, Mike Preuss, Aske Plaat
2020	J	`jnl`	A Games Industry Perspective on Recent Game AI Developments. Künstliche Intell. Mike Preuss, Sebastian Risi
2020	J	`jnl`	A New Challenge: Approaching Tetris Link with AI. CoRR Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
2020	—	`conf`	An Analysis of Phenotypic Diversity in Multi-solution Optimization. BIOMA Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
2020	J	`jnl`	Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? CoRR Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2020	C	`conf`	Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoG Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck
2020	J	`jnl`	Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoRR Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck
2020	J	`jnl`	Behind DeepMind's AlphaStar AI that Reached Grandmaster Level in StarCraft II. Künstliche Intell. Sebastian Risi, Mike Preuss
2020	—	`ed.`	Disinformation in Open Online Media - First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 - March 1, 2019, Revised Selected Papers MISDOOM Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
2020	—	`ed.`	Disinformation in Open Online Media - Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26-27, 2020, Proceedings MISDOOM Max J. van Duijn, Mike Preuss, Viktoria Spaiser, Frank W. Takes, Suzan Verberne
2020	—	`conf`	FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News. MISDOOM Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme
2020	J	`jnl`	FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News. CoRR Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme
2020	J	`jnl`	From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. CoRR Sebastian Risi, Mike Preuss
2020	J	`jnl`	From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. Künstliche Intell. Sebastian Risi, Mike Preuss
2020	—	`conf`	IT security challenges for continuously connected near-autonomous vehicles. ICE/ITMC David Virag, Tyron Offerman, Bart de Jong, Mike Preuss
2020	J	`jnl`	Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. CoRR Aske Plaat, Walter A. Kosters, Mike Preuss
2020	C	`conf`	Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. CoG Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
2020	J	`jnl`	Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. CoRR Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
2020	—	`conf`	On the Potential of Rocket League for Driving Team AI Development. SSCI Yannick Verhoeven, Mike Preuss
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I PPSN (1) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II PPSN (2) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`conf`	Riding the Wave of Misclassification: How We End up with Extreme YouTube Content. HCI (14) Christian Stöcker, Mike Preuss
2020	J	`jnl`	Special Issue on AI in Games. Künstliche Intell. Sebastian Risi, Mike Preuss
2020	Misc	`conf`	Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning. SYNASC Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
2020	J	`jnl`	Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning. CoRR Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
2020	C	`conf`	Towards a Taxonomy of AI in Hybrid Board Games. FDG Marcello A. Gómez Maureira, Giulio Barbero, Maria Freese, Mike Preuss
2020	J	`jnl`	Versatile Black-Box Optimization. CoRR Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
2020	A	`conf`	Versatile black-box optimization. GECCO Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
2020	J	`jnl`	Warm-Start AlphaZero Self-Play Search Enhancements. CoRR Hui Wang, Mike Preuss, Aske Plaat
2020	—	`conf`	Warm-Start AlphaZero Self-play Search Enhancements. PPSN (2) Hui Wang, Mike Preuss, Aske Plaat
2019	—	`conf`	Alternative Loss Functions in AlphaZero-like Self-play. SSCI Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2019	C	`conf`	An Experiment on Game Facet Combination\. CoG Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss
2019	—	`conf`	Exploratory landscape analysis. GECCO (Companion) Pascal Kerschke, Mike Preuss
2019	—	`conf`	Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
2019	J	`jnl`	Hyper-Parameter Sweep on AlphaZero General. CoRR Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2019	—	`conf`	Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution. SSCI Wenjian Luo, Yingying Qiao, Xin Lin, Peilan Xu, Mike Preuss
2019	—	`conf`	On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss
2019	J	`jnl`	Orchestrating Game Generation. IEEE Trans. Games Antonios Liapis, Georgios N. Yannakakis, Mark J. Nelson, Mike Preuss, Rafael Bidarra
2019	—	`ch.`	RTS AI Problems and Techniques. Encyclopedia of Computer Graphics and Games Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss
2019	J	`jnl`	Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
2019	—	`ch.`	StarCraft Bots and Competitions. Encyclopedia of Computer Graphics and Games David Churchill, Mike Preuss, Florian Richoux, Gabriel Synnaeve, Alberto Uriarte, Santiago Ontañón, Michal Certický
2018	—	`conf`	A Social Science-based Approach to Explanations for (Game) AI. CIG Vanessa Volz, Kevin Majchrzak, Mike Preuss
2018	—	`conf`	Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. CIG Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl
2018	J	`jnl`	Planning chemical syntheses with deep neural networks and symbolic AI. Nat. Marwin H. S. Segler, Mike Preuss, Mark P. Waller
2018	—	`conf`	Towards Embodied StarCraft II Winner Prediction. CGW@IJCAI Vanessa Volz, Mike Preuss, Mathias Kirk Bonde
2018	—	`conf`	Tutorials at PPSN 2018. PPSN (2) Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
2018	—	`conf`	Workshops at PPSN 2018. PPSN (2) Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda
2017	—	`conf`	Exploratory landscape analysis: advanced tutorial at GECCO 2017. GECCO (Companion) Pascal Kerschke, Mike Preuss
2017	J	`jnl`	Learning to Plan Chemical Syntheses. CoRR Marwin H. S. Segler, Mike Preuss, Mark P. Waller
2017	C	`conf`	Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games. EMO Ahmed Khalifa, Mike Preuss, Julian Togelius
2017	J	`jnl`	Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. Evol. Comput. Ali Ahrari, Kalyanmoy Deb, Mike Preuss
2017	J	`jnl`	Social Bots: Human-Like by Means of Human Control? Big Data Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
2017	J	`jnl`	Social Bots: Human-Like by Means of Human Control? CoRR Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
2017	J	`jnl`	The True Destination of EGO is Multi-local Optimization. CoRR Simon Wessing, Mike Preuss
2017	—	`conf`	The true destination of EGO is multi-local optimization. LA-CCI Simon Wessing, Mike Preuss
2017	—	`conf`	Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies. ICLR (Workshop) Marwin H. S. Segler, Mike Preuss, Mark P. Waller
2016	—	`conf`	An integrated process for game balancing. CIG Marlene Beyer, Aleksandr Agureikin, Alexander Anokhin, Christoph Laenger, Felix Nolte, Jonas Winterberg, Marcel Renka, Martin Rieger, Nicolas Pflanzl, Mike Preuss, Vanessa Volz
2016	—	`ch.`	Assessing Basin Identification Methods for Locating Multiple Optima. Advances in Stochastic and Deterministic Global Optimization Simon Wessing, Günter Rudolph, Mike Preuss
2016	J	`jnl`	Guest Editorial Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games Michael Buro, Santiago Ontañón, Mike Preuss
2016	A	`conf`	Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. GECCO Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
2016	—	`conf`	MCTS/EA hybrid GVGAI players and game difficulty estimation. CIG Hendrik Horn, Vanessa Volz, Diego Perez Liebana, Mike Preuss
2016	J	`jnl`	On multiobjective selection for multimodal optimization. Comput. Optim. Appl. Simon Wessing, Mike Preuss
2016	A	`conf`	Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich
2016	A	`conf`	Tutorials at PPSN 2016. PPSN Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
2015	J	`jnl`	Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs
2015	J	`jnl`	Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051). Dagstuhl Reports Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius
2015	J	`jnl`	Conference Report on IEEE CIG 2014 [Conference Reports]. IEEE Comput. Intell. Mag. Mike Preuss, Günter Rudolph
2015	A	`conf`	Detecting Funnel Structures by Means of Exploratory Landscape Analysis. GECCO Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
2015	—	`conf`	How costly is a good compromise: Multi-objective TORCS controller parameter optimization. CIG Jan Quadflieg, Günter Rudolph, Mike Preuss
2015	—	`book`	Multimodal Optimization by Means of Evolutionary Algorithms Mike Preuss
2015	—	`conf`	Multimodal Optimization. GECCO (Companion) Mike Preuss
2015	—	`conf`	Player-adaptive Spelunky level generation. CIG David Stammer, Tobias Günther, Mike Preuss
2015	—	`ch.`	Solving Phase Equilibrium Problems by Means of Avoidance-Based Multiobjectivization. Handbook of Computational Intelligence Mike Preuss, Simon Wessing, Günter Rudolph, Gabriele Sadowski
2014	B	`conf`	Automatic Camera Control: A Dynamic Multi-Objective Perspective. EvoApplications Paolo Burelli, Mike Preuss
2014	J	`jnl`	Driving as a human: a track learning based adaptable architecture for a car racing controller. Genet. Program. Evolvable Mach. Jan Quadflieg, Mike Preuss, Günter Rudolph
2014	—	`ch.`	Experimental Analysis of Optimization Algorithms: Tuning and Beyond. Theory and Principled Methods for the Design of Metaheuristics Thomas Bartz-Beielstein, Mike Preuss
2014	B	`conf`	Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure. EvoApplications Mike Preuss, Philip Voll, André Bardow, Günter Rudolph
2014	—	`conf`	Searching for good and diverse game levels. CIG Mike Preuss, Antonios Liapis, Julian Togelius
2014	A	`conf`	Stopping Criteria for Multimodal Optimization. PPSN Simon Wessing, Mike Preuss, Heike Trautmann
2013	J	`jnl`	A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft. IEEE Trans. Comput. Intell. AI Games Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss
2013	—	`book`	Artificial and Computational Intelligence in Games Artificial and Computational Intelligence in Games Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius
2013	—	`conf`	Computational intelligence and games. GECCO (Companion) Daniele Loiacono, Mike Preuss
2013	J	`jnl`	Controllable procedural map generation via multiobjective evolution. Genet. Program. Evolvable Mach. Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, Corrado Grappiolo
2013	—	`conf`	EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. GECCO (Companion) Catalin Stoean, Mike Preuss, Ruxandra Stoean
2013	—	`conf`	Multi-objective assessment of pre-optimized build orders exemplified for StarCraft 2. CIG Matthias Kuchem, Mike Preuss, Günter Rudolph
2013	B	`conf`	Niching by multiobjectivization with neighbor information: Trade-offs and benefits. IEEE Congress on Evolutionary Computation Simon Wessing, Mike Preuss, Günter Rudolph
2013	—	`ch.`	Procedural Content Generation: Goals, Challenges and Actionable Steps. Artificial and Computational Intelligence in Games Julian Togelius, Alex J. Champandard, Pier Luca Lanzi, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley
2013	—	`conf`	Reactive strategy choice in StarCraft by means of Fuzzy Control. CIG Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann
2012	B	`ed.`	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 EvoApplications 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 Julián 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
2012	J	`jnl`	Artificial and Computational Intelligence in Games (Dagstuhl Seminar 12191). Dagstuhl Reports Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius
2012	—	`conf`	BeatTheBeat music-based procedural content generation in a mobile game. CIG Annika Jordan, Dimitri Scheftelowitsch, Jan Lahni, Jannic Hartwecker, Matthias Kuchem, Mirko Walter-Huber, Nils Vortmeier, Tim Delbrügger, Ümit Güler, Igor Vatolkin, Mike Preuss
2012	B	`conf`	Diversified Virtual Camera Composition. EvoApplications Mike Preuss, Paolo Burelli, Georgios N. Yannakakis
2012	J	`jnl`	Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods. Evol. Comput. Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer
2012	—	`conf`	High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games. LION Mike Preuss, Tobias Wagner, David Ginsbourger
2012	B	`conf`	Improved Topological Niching for Real-Valued Global Optimization. EvoApplications Mike Preuss
2012	—	`ch.`	Making Diplomacy Bots Individual. Believable Bots Markus Kemmerling, Niels Ackermann, Mike Preuss
2011	—	`ed.`	Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I EvoApplications (1) 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
2011	—	`conf`	Automatic and interactive tuning of algorithms. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2011	—	`conf`	Driving Faster Than a Human Player. EvoApplications (1) Jan Quadflieg, Mike Preuss, Günter Rudolph
2011	A	`conf`	Exploratory landscape analysis. GECCO Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph
2011	—	`conf`	Nested Look-Ahead Evolutionary Algorithm Based Planning for a Believable Diplomacy Bot. EvoApplications (1) Markus Kemmerling, Niels Ackermann, Mike Preuss
2011	A	`conf`	Niching foundations: basin identification on fixed-property generated landscapes. GECCO Mike Preuss, Catalin Stoean, Ruxandra Stoean
2011	B	`conf`	Red teaming with coevolution. IEEE Congress on Evolutionary Computation Philip Hingston, Mike Preuss
2011	—	`conf`	TORCS sensor noise removal and multi-objective track selection for driving style adaptation. CIG Mike Preuss, Jan Quadflieg, Günter Rudolph
2011	—	`conf`	Tutorials: Cultural Algorithms: Incorporating social intelligence into virtual worlds. CIG Robert G. Reynolds, Daniel A. Ashlock, Georgios N. Yannakakis, Julian Togelius, Mike Preuss
2011	A	`conf`	When parameter tuning actually is parameter control. GECCO Simon Wessing, Mike Preuss, Günter Rudolph
2010	—	`conf`	AI and computational intelligence for real-time strategy games. CIG Johan Hagelbäck, Stefan J. Johansson, Mike Preuss
2010	—	`ed.`	Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I EvoApplications (1) Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis
2010	—	`conf`	Automatic adaptation to generated content via car setup optimization in TORCS. CIG Markus Kemmerling, Mike Preuss
2010	—	`conf`	Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. PPSN (1) Olaf Mersmann, Mike Preuss, Heike Trautmann
2010	—	`book`	Experimental Methods for the Analysis of Optimization Algorithms. Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss
2010	—	`ch.`	Introduction. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss
2010	—	`conf`	Learning the track and planning ahead in a car racing controller. CIG Jan Quadflieg, Mike Preuss, Oliver Kramer, Günter Rudolph
2010	J	`jnl`	Multimodal Optimization by Means of a Topological Species Conservation Algorithm. IEEE Trans. Evol. Comput. Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2010	—	`conf`	Multiobjective exploration of the StarCraft map space. CIG Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis
2010	—	`conf`	Niching the CMA-ES via nearest-better clustering. GECCO (Companion) Mike Preuss
2010	B	`conf`	RedTNet: A network model for strategy games. IEEE Congress on Evolutionary Computation Philip Hingston, Mike Preuss, Daniel Spierling
2010	—	`conf`	Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. PPSN (1) Bernd Bischl, Igor Vatolkin, Mike Preuss
2010	J	`jnl`	The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez Liebana, Yago Sáez, Mike Preuss, Jan Quadflieg
2010	—	`ch.`	The Future of Experimental Research. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Mike Preuss
2010	—	`ch.`	The Sequential Parameter Optimization Toolbox. Experimental Methods for the Analysis of Optimization Algorithms Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss
2010	J	`jnl`	Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games Mike Preuss, Nicola Beume, Holger Danielsiek, Tobias Hein, Boris Naujoks, Nico Piatkowski, Raphael Stür, Andreas Thom, Simon Wessing
2010	—	`conf`	Towards multiobjective procedural map generation. PCGames@FDG Julian Togelius, Mike Preuss, Georgios N. Yannakakis
2010	—	`conf`	Tuning and experimental analysis in evolutionary computation: what we still have wrong. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2010	A	`conf`	Tuning optimization algorithms for real-world problems by means of surrogate modeling. GECCO Mike Preuss, Günter Rudolph, Simon Wessing
2009	—	`conf`	A multiobjective approach for finding equivalent inverse images of Pareto-optimal objective vectors. MCDM Günter Rudolph, Mike Preuss
2009	—	`conf`	Adaptability of Algorithms for Real-Valued Optimization. EvoWorkshops Mike Preuss
2009	—	`ch.`	An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (3) Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2009	—	`ch.`	An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (1) Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2009	—	`ed.`	Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings EvoWorkshops 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
2009	C	`conf`	Effects of 1-Greedy -Metric-Selection on Innumerably Large Pareto Fronts. EMO Nicola Beume, Boris Naujoks, Mike Preuss, Günter Rudolph, Tobias Wagner
2009	C	`conf`	Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. EMO Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich
2009	—	`conf`	Is human-like and well playing contradictory for Diplomacy bots? CIG Markus Kemmerling, Niels Ackermann, Nicola Beume, Mike Preuss, Sebastian Uellenbeck, Wolfgang Walz
2009	J	`jnl`	Support vector machine learning with an evolutionary engine. J. Oper. Res. Soc. Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
2009	—	`conf`	the future of experimental research. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2008	A	`conf`	A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. PPSN Heike Trautmann, Uwe Ligges, Jörn Mehnen, Mike Preuss
2008	A	`conf`	Aiming for a theoretically tractable CSA variant by means of empirical investigations. GECCO Jens Jägersküpper, Mike Preuss
2008	—	`conf`	Decision Space Diversity Can Be Essential for Solving Multiobjective Real-World Problems. MCDM Mike Preuss, Christoph Kausch, Claude Bouvy, Frank Henrich
2008	A	`conf`	EA-Powered Basin Number Estimation by Means of Preservation and Exploration. PPSN Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2008	—	`conf`	Empirical Investigation of Simplified Step-Size Control in Metaheuristics with a View to Theory. WEA Jens Jägersküpper, Mike Preuss
2008	—	`conf`	Experimental research in evolutionary computation. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2008	—	`conf`	Intelligent anti-grouping in real-time strategy games. CIG Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing
2008	—	`conf`	Intelligent moving of groups in real-time strategy games. CIG Holger Danielsiek, Raphael Stür, Andreas Thom, Nicola Beume, Boris Naujoks, Mike Preuss
2008	B	`conf`	Measuring flow as concept for detecting game fun in the Pac-Man game. IEEE Congress on Evolutionary Computation Nicola Beume, Holger Danielsiek, Christian Eichhorn, Boris Naujoks, Mike Preuss, Klaus D. Stiller, Simon Wessing
2008	—	`conf`	On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems. MCDM Claude Bouvy, Christoph Kausch, Mike Preuss, Frank Henrich
2008	B	`conf`	To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge. IEEE Congress on Evolutionary Computation Nicola Beume, Tobias Hein, Boris Naujoks, Georg Neugebauer, Nico Piatkowski, Mike Preuss, Raphael Stür, Andreas Thom
2007	C	`conf`	Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. EMO Günter Rudolph, Boris Naujoks, Mike Preuss
2007	B	`conf`	Concerning the potential of evolutionary support vector machines. IEEE Congress on Evolutionary Computation Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu
2007	A	`conf`	Disburdening the species conservation evolutionary algorithm of arguing with radii. GECCO Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2007	—	`conf`	Experimental research in evolutionary computation. GECCO (Companion) Thomas Bartz-Beielstein, Mike Preuss
2007	—	`conf`	Hybrid Numerical Optimization for Combinatorial Network Problems. Hybrid Metaheuristics Markus Chimani, Maria Kandyba, Mike Preuss
2007	—	`ch.`	Sequential Parameter Optimization Applied to Self-Adaptation for Binary-Coded Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms Mike Preuss, Thomas Bartz-Beielstein
2007	B	`conf`	Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection. IEEE Congress on Evolutionary Computation Mike Preuss, Günter Rudolph, Feelly Tumakaka
2006	Misc	`conf`	Cooperative Evolution of Rules for Classification. SYNASC Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean
2006	B	`conf`	Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA. EvoCOP Mario Giacobini, Mike Preuss, Marco Tomassini
2006	Misc	`conf`	Evolutionary Support Vector Regression Machines. SYNASC Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean
2006	—	`conf`	Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph
2006	A	`conf`	Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. PPSN Mike Preuss, Boris Naujoks, Günter Rudolph
2005	A	`conf`	Counteracting genetic drift and disruptive recombination in (µ GECCO Mike Preuss, Lutz Schönemann, Michael Emmerich
2005	B	`conf`	Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. Congress on Evolutionary Computation Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu
2005	B	`conf`	Sequential parameter optimization. Congress on Evolutionary Computation Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss
2004	J	`jnl`	On the Extinction of Evolutionary Algorithm Subpopulations on Multimodal Landscapes. Informatica (Slovenia) Lutz Schönemann, Michael Emmerich, Mike Preuss
2004	A	`conf`	On the Importance of Information Speed in Structured Populations. PPSN Mike Preuss, Christian Lasarczyk