| Sankt Augustin, Germany H Mühlenbein Molecular Electronics: Properties: Dynamics, and Applications, 5, 2020 | | 2020 |
| Algorithms, Data, and Hypotheses: Learning in Open Worlds H Mühlenbein Molecular Electronics, 5-22, 2020 | 4 | 2020 |
| Artificial intelligence and neural networks the legacy of Alan Turing and John von Neumann H Muehlenbein Int J Comput 5 (3), 10-20, 2014 | 5* | 2014 |
| Convergence Theorems of Estimation of Distribution Algorithms H Mühlenbein Markov Networks in Evolutionary Computation 14, 91-108, 2012 | 16 | 2012 |
| Computational Intelligence: The Legacy of Alan Turing and John von Neumann H Mühlenbein Computational Intelligence: Collaboration, Fusion and Emergence, 23-43, 2009 | 2 | 2009 |
| Evolutionary computation: Centralized, parallel or collaborative H Mühlenbein Computational Intelligence: Collaboration, Fusion and Emergence, 561-595, 2009 | 3 | 2009 |
| Convergence of estimation of distribution algorithms for finite samples H Mühlenbein Unpublished manuscript, 2008 | 20 | 2008 |
| Effective mutation rate for probabilistic evolutionary design of analogue electrical circuits H Mühlenbein, L Zinchenko, V Kureichik, T Mahnig Applied Soft Computing 7 (3), 1012-1018, 2007 | 11 | 2007 |
| IN SILICO DESIGN OF LIGANDS USING PROPERTIES OF TARGET ACTIVE SITES S Bandyopadhyay, S Santra, U Maulik, H Muehlenbein Analysis Of Biological Data: A Soft Computing Approach, 183-201, 2007 | 1 | 2007 |
| The factorized distribution algorithm and the minimum relative entropy principle H Mühlenbein, R Höns Scalable Optimization via Probabilistic Modeling, 11-37, 2006 | 23 | 2006 |
| Approximate factorizations of distributions and the minimum relative entropy principle H Mühlenbein, R Höns Proceedings of the 7th annual workshop on Genetic and evolutionary …, 2005 | 3 | 2005 |
| Analysis of selection, mutation and recombination in genetic algorithms H Mühlenbein, D Schlierkamp-Voosen Evolution and Biocomputation: Computational Models of Evolution, 142-168, 2005 | 118 | 2005 |
| The estimation of distributions and the minimum relative entropy principle H Mühlenbein, R Höns Evolutionary Computation 13 (1), 1-27, 2005 | 116 | 2005 |
| Agents with heterogeneous strategies interacting in a spatial IPD F Schweitzer, R Mach, H Mühlenbein Nonlinear Dynamics and Heterogeneous Interacting Agents, 87-102, 2005 | 11 | 2005 |
| Markov chain analysis for one-dimensional asynchronous cellular automata A Agapie, R Höns, H Mühlenbein Methodology and Computing in Applied Probability 6, 181-201, 2004 | 19 | 2004 |
| On the convergence of a class of estimation of distribution algorithms Q Zhang, H Muehlenbein Evolutionary Computation, IEEE Transactions on 8 (2), 127-136, 2004 | 278 | 2004 |
| An investigation of the phase transitions of a family of probabilistic automata H Mühlenbein, T AUS DER FÜNTEN Advances in Complex Systems 7 (01), 93-123, 2004 | | 2004 |
| A theoretical and experimental investigation of estimation of distribution algorithms H Mühlenbein, R Hoens Optimization by Building and Using Probabilistic Models (OBUPM-2004), 2004 | 2 | 2004 |
| Univariate marginal distribution algorithms for non-stationary optimization problems A Ghosh, H Muehlenbein International Journal of Knowledge-based and Intelligent Engineering Systems …, 2004 | 13 | 2004 |
| A comparison of different circuit representations for evolutionary analog circuit design L Zinchenko, H Mühlenbein, V Kureichik, T Mahnig International Conference on Evolvable Systems, 13-23, 2003 | 5 | 2003 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr