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Heinz Mühlenbein
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Journal Articles
- 2007
- [j32]Heinz Mühlenbein, Lyudmila Zinchenko, Victor Kureichik, Thilo Mahnig:
Effective mutation rate for probabilistic evolutionary design of analogue electrical circuits. Appl. Soft Comput. 7(3): 1012-1018 (2007) - 2006
- [j31]Heinz Mühlenbein:
Artificial Intelligence and Neural Networks the Legacy of Alan Turing and John von Neumann. Int. J. Comput. 5(3): 10-20 (2006) - 2005
- [j30]Heinz Mühlenbein, Robin Höns:
The Estimation of Distributions and the Minimum Relative Entropy Principle. Evol. Comput. 13(1): 1-27 (2005) - 2004
- [j29]Heinz Mühlenbein, Thomas Aus der Fünten:
An Investigation of the Phase Transitions of a Family of Probabilistic Automata. Adv. Complex Syst. 7(1): 93-123 (2004) - [j28]Ashish Ghosh, Heinz Mühlenbein:
Univariate marginal distribution algorithms for non-stationary optimization problems. Int. J. Knowl. Based Intell. Eng. Syst. 8(3): 129-138 (2004) - [j27]Qingfu Zhang, Heinz Mühlenbein:
On the convergence of a class of estimation of distribution algorithms. IEEE Trans. Evol. Comput. 8(2): 127-136 (2004) - 2003
- [j26]Pedro Larrañaga, José Antonio Lozano, Heinz Mühlenbein:
Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria. Inteligencia Artif. 7(19): 149-168 (2003) - 2002
- [j25]Frank Schweitzer, Laxmidhar Behera, Heinz Mühlenbein:
Evolution of Cooperation in a Spatial Prisoner's Dilemma. Adv. Complex Syst. 5(2-3): 269-300 (2002) - [j24]Heinz Mühlenbein, Robin Höns:
Stochastic Analysis of Cellular Automata with Application to the Voter Model. Adv. Complex Syst. 5(2-3): 301-338 (2002) - [j23]Heinz Mühlenbein, Thilo Mahnig:
Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning. Int. J. Approx. Reason. 31(3): 157-192 (2002) - [j22]Heinz Mühlenbein, Thilo Mahnig:
Evolutionary computation and Wright's equation. Theor. Comput. Sci. 287(1): 145-165 (2002) - 2000
- [j21]Heinz Mühlenbein, Thilo Mahnig:
Evolutionary Optimization Using Graphical Models. New Gener. Comput. 18(2): 157-166 (2000) - 1999
- [j20]Heinz Mühlenbein, Thilo Mahnig:
FDA - A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions. Evol. Comput. 7(4): 353-376 (1999) - [j19]Heinz Mühlenbein, Thilo Mahnig, Alberto Ochoa-Rodríguez:
Schemata, Distributions and Graphical Models in Evolutionary Optimization. J. Heuristics 5(2): 215-247 (1999) - 1997
- [j18]Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein:
Evolutionary Induction of Sparse Neural Trees. Evol. Comput. 5(2): 213-236 (1997) - [j17]Heinz Mühlenbein:
The Equation for Response to Selection and Its Use for Prediction. Evol. Comput. 5(3): 303-346 (1997) - 1995
- [j16]Byoung-Tak Zhang, Heinz Mühlenbein:
Balancing Accuracy and Parsimony in Genetic Programming. Evol. Comput. 3(1): 17-38 (1995) - [j15]Heinz Mühlenbein:
Grenzen der Künstlichen Intelligenz - ein Plädoyer für Bescheidenheit. Künstliche Intell. 9(1): 46-51 (1995) - 1993
- [j14]Byoung-Tak Zhang, Heinz Mühlenbein:
Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor. Complex Syst. 7(3) (1993) - [j13]Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
Predictive Models for the Breeder Genetic Algorithm, I: Continuous Parameter Optimization. Evol. Comput. 1(1): 25-49 (1993) - [j12]Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA). Evol. Comput. 1(4): 335-360 (1993) - 1991
- [j11]Heinz Mühlenbein:
Darwin's Continent Cycle Theory and Its Simulation by the Prisoner's Dilemma. Complex Syst. 5(5) (1991) - [j10]Heinz Mühlenbein, M. Schomisch, Joachim Born:
The parallel genetic algorithm as function optimizer. Parallel Comput. 17(6-7): 619-632 (1991) - 1990
- [j9]Heinz Mühlenbein:
Limitations of multi-layer perceptron networks-steps towards genetic neural networks. Parallel Comput. 14(3): 249-260 (1990) - [j8]Frank J. Smieja, Heinz Mühlenbein:
The geometry of multi-layer perceptron solutions. Parallel Comput. 14(3): 261-275 (1990) - 1989
- [j7]Ottmar Krämer, Heinz Mühlenbein:
Mapping strategies in message-based multiprocessor systems. Parallel Comput. 9(2): 213-225 (1989) - 1988
- [j6]Heinz Mühlenbein, Th. Schneider, Siegfried Streitz:
Network Programming with MUPPET. J. Parallel Distributed Comput. 5(5): 641-653 (1988) - [j5]Heinz Mühlenbein, Martina Gorges-Schleuter, Ottmar Krämer:
Evolution algorithms in combinatorial optimization. Parallel Comput. 7(1): 65-85 (1988) - [j4]Heinz Mühlenbein, Ottmar Krämer, F. Limburger, Monika Mevenkamp, Siegfried Streitz:
MUPPET: a programming environment for message-based multiprocessors. Parallel Comput. 8(1-3): 201-221 (1988) - 1987
- [j3]Heinz Mühlenbein, Martina Gorges-Schleuter, Ottmar Krämer:
New solutions to the mapping problem of parallel systems: The evolution approach. Parallel Comput. 4(3): 269-279 (1987) - 1986
- [j2]Hans-Christian Hoppe, Heinz Mühlenbein:
Parallel adaptive full-multigrid methods on message-based multiprocessors. Parallel Comput. 3(4): 269-287 (1986) - 1984
- [j1]Michael Spenke, Heinz Mühlenbein, Monika Mevenkamp, Friedemann Mattern, Christian Beilken:
A Language Independent Error Recovery Method for LL(1) Parsers. Softw. Pract. Exp. 14(11): 1095-1107 (1984)
Conference and Workshop Papers
- 2005
- [c45]Heinz Mühlenbein, Robin Höns:
Approximate factorizations of distributions and the minimum relative entropy principle. GECCO Workshops 2005: 199-211 - 2003
- [c44]Carlos Alberto Ochoa Ortíz Zezzatti, Robin Höns, Marta Soto, Heinz Mühlenbein:
A Maximum Entropy Approach to Sampling in EDA ? The Single Connected Case. CIARP 2003: 683-690 - [c43]Lyudmila Zinchenko, Heinz Mühlenbein, Victor Kureichik, Thilo Mahnig:
A Comparison of Different Circuit Representations for Evolutionary Analog Circuit Design. ICES 2003: 13-23 - 2002
- [c42]Heinz Mühlenbein, Robin Höns:
Stochastic Analysis of Cellular Automata and the Voter Model. ACRI 2002: 92-103 - [c41]Heinz Mühlenbein, Thilo Mahnig:
A comparison of stochastic local search and population based search. IEEE Congress on Evolutionary Computation 2002: 255-260 - [c40]Roberto Santana, Heinz Mühlenbein:
Blocked stochastic sampling versus Estimation of Distribution Algorithms. IEEE Congress on Evolutionary Computation 2002: 1390-1395 - [c39]Lyudmila Zinchenko, Heinz Mühlenbein, Victor Kureichik, Thilo Mahnig:
Application of the Univariate Marginal Distribution Algorithm to Analog Circuit Design. Evolvable Hardware 2002: 93-101 - [c38]Heinz Mühlenbein, Thilo Mahnig:
Evolutionary Algorithms and the Boltzmann Distribution. FOGA 2002: 133-150 - 2001
- [c37]Thilo Mahnig, Heinz Mühlenbein:
A new adaptive Boltzmann selection schedule SDS. CEC 2001: 183-190 - [c36]Thilo Mahnig, Heinz Mühlenbein:
Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms. SAGA 2001: 33-48 - 2000
- [c35]Byoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein:
Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. CEC 2000: 938-945 - [c34]Heinz Mühlenbein, Jörg Zimmermann:
Size of neighborhood more important than temperature for stochastic local search. CEC 2000: 1017-1024 - [c33]Carlos Alberto Ochoa Ortíz Zezzatti, Heinz Mühlenbein, Marta Soto:
A Factorized Distribution Algorithm Using Single Connected Bayesian Networks. PPSN 2000: 787-796 - 1999
- [c32]Heinz Mühlenbein, Thilo Mahnig:
The Factorized Distribution Algorithm for additively decomposed functions. CEC 1999: 752-759 - 1998
- [c31]Christine Crisan, Heinz Mühlenbein:
The Breeder Genetic Algorithm for Frequency Assignment. PPSN 1998: 897-906 - 1997
- [c30]Christine Crisan, Heinz Mühlenbein:
The Frequency Assignment Problem: A Look at the Performance of Evolutionary Search. Artificial Evolution 1997: 263-274 - [c29]Ulrich Bartling, Heinz Mühlenbein:
Optimization of Large Scale Parcel Distribution Systems by the Breeder Genetic Algorithm (BGA). ICGA 1997: 473-480 - 1996
- [c28]Dirk Schlierkamp-Voosen, Heinz Mühlenbein:
Adaptation of Population Sizes by Competing Subpopulations. International Conference on Evolutionary Computation 1996: 330-335 - [c27]Hans-Michael Voigt, Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
The Response to Selection Equation for Skew Fitness Distributions. International Conference on Evolutionary Computation 1996: 820-825 - [c26]Heinz Mühlenbein, Gerhard Paass:
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters. PPSN 1996: 178-187 - [c25]Heinz Mühlenbein, Jürgen Bendisch, Hans-Michael Voigt:
From Recombination of Genes to the Estimation of Distributions II. Continuous Parameters. PPSN 1996: 188-197 - [c24]Hans-Michael Voigt, Heinz Mühlenbein:
Erroneous Truncation Selection - A Breeder's Decision Making Perspective. PPSN 1996: 276-285 - 1995
- [c23]Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
Analysis of Selection, Mutation and Recombination in Genetic Algorithms. Evolution and Biocomputation 1995: 142-168 - [c22]Hans-Michael Voigt, Heinz Mühlenbein, Dragan Cvetkovic:
Fuzzy Recombination for the Breeder Genetic Algorithm. ICGA 1995: 104-113 - 1994
- [c21]Byoung-Tak Zhang, Heinz Mühlenbein:
Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. International Conference on Evolutionary Computation 1994: 318-323 - [c20]Hideki Asoh, Heinz Mühlenbein:
On the Mean Convergence Time of Evolutionary Algorithms without Selection and Mutation. PPSN 1994: 88-97 - [c19]Hideki Asoh, Heinz Mühlenbein:
Estimating the Heritability by Decomposing the Genetic Variance. PPSN 1994: 98-107 - [c18]Dirk Schlierkamp-Voosen, Heinz Mühlenbein:
Strategy Adaption by Competing Subpopulations. PPSN 1994: 199-208 - 1993
- [c17]Byoung-Tak Zhang, Heinz Mühlenbein:
Genetic Programming of Minimal Neural Nets Using Occam's Razor. ICGA 1993: 342-351 - [c16]Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
Optimal Interaction of Mutation and Crossover in the Breeder Genetic Algorithm. ICGA 1993: 648 - 1992
- [c15]Heinz Mühlenbein:
How Genetic Algorithms Really Work: Mutation and Hillclimbing. PPSN 1992: 15-26 - 1991
- [c14]Heinz Mühlenbein, M. Schomisch, Joachim Born:
The Parallel Genetic Algorithm as Function Optimizer. ICGA 1991: 271-278 - [c13]Heinz Mühlenbein:
Parallel Genetic Algorithms in Optimization. Physik und Informatik 1991: 2-15 - [c12]Heinz Mühlenbein:
Asynchronous parallel search by the parallel genetic algorithm. SPDP 1991: 526-533 - 1990
- [c11]Heinz Mühlenbein:
Evolution in Time and Space - The Parallel Genetic Algorithm. FOGA 1990: 316-337 - [c10]Gregor von Laszewski, Heinz Mühlenbein:
Partitioning a Graph with a Parallel Genetic Algorithm. PPSN 1990: 165-169 - 1989
- [c9]Heinz Mühlenbein:
Parallel Genetic Algorithms Population Genetics and Combinatorial Optimization. ICGA 1989: 416-421 - [c8]Heinz Mühlenbein:
Parallel Genetic Algorithms, Population Genetics, and Combinatorial Optimization. Parallelism, Learning, Evolution 1989: 398-406 - 1987
- [c7]Heinz Mühlenbein, Ottmar Krämer, F. Limburger, Monika Mevenkamp, Siegfried Streitz:
Design and Rationale for MUPPET: A Programming Environment for Message Based Multiprocessors. ICS 1987: 172-193 - [c6]Ottmar Krämer, Heinz Mühlenbein:
Mapping Strategies in Message Based Multiprocessor Systems. PARLE (1) 1987: 213-225 - 1986
- [c5]Heinz Mühlenbein, F. Limburger, Siegfried Streitz, S. Warhaut:
MUPPET - A Programming Environment of Message-Based Multiprocessors. FJCC 1986: 336-343 - 1985
- [c4]Heinz Mühlenbein, S. Warhaut:
Concurrent Mulitgrid Methods in an Object-Oriented Environment: A Case Study. ICPP 1985: 143-146 - 1981
- [c3]Heinz Mühlenbein:
TOCS: A SIMULA-Based Simulator for the Analysis of Mainframe-Oriented Distributed Systems. ECI 1981: 321-333 - [c2]Heinz Mühlenbein:
Modellierung des Paging-Verhaltens im Teilnehmerbetrieb. MMB 1981: 249-262 - 1977
- [c1]Heinz Mühlenbein:
Ein Vorschlag zur Leistungsbeschreibung von Interaktiven DV-Systemen. GI-Fachgespräch über Rechenzentren 1977: 213-232
Parts in Books or Collections
- 2007
- [p3]Sanghamitra Bandyopadhyay, Santanu Santra, Ujjwal Maulik, Heinz Mühlenbein:
In Silico Design of Ligands Using Properties of Target Active Sites. Analysis of Biological Data: A Soft Computing Approach 2007: 183-201 - 2006
- [p2]Heinz Mühlenbein, Robin Höns:
The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle. Scalable Optimization via Probabilistic Modeling 2006: 11-37 - 1992
- [p1]Heinz Mühlenbein:
Parallel Genetic Algorithms in Combinatorial Optimization. Computer Science and Operations Research 1992: 441-453
Informal and Other Publications
- 2006
- [i3]Heinz Mühlenbein, Robin Höns:
The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle. Theory of Evolutionary Algorithms 2006 - 2002
- [i2]Frank Schweitzer, Laxmidhar Behera, Heinz Mühlenbein:
Evolution of Cooperation in a Spatial Prisoner's Dilemma. CoRR cond-mat/0211605 (2002) - 2001
- [i1]Frank Schweitzer, Jörg Zimmermann, Heinz Mühlenbein:
Coordination of Decisions in a Spatial Agent Model. CoRR cond-mat/0109121 (2001)
Coauthor Index
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