World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
12864
World Ranking
7880
National Ranking
267

Overview

Heinz Mühlenbein is affiliated with the Fraunhofer Institute for Intelligent Analysis and Information Systems in Germany. Their professional work is positioned within this research institution, which is known for conducting applied research and development in intelligent data analysis and information systems.

There are no recent papers listed under Heinz Mühlenbein's name, nor any specific frequent co-authors or publication venues documented in the available data. Similarly, there is no record of book publications associated with this scientist.

The researcher's main fields of study, subfields, and work topics have not been explicitly provided in the data set. Likewise, there is no mention of any awards received or distinctions granted to them throughout their career.

Based on the information available, Heinz Mühlenbein's professional contributions, while linked to a prominent German research institute, remain largely undocumented in terms of specific publications, collaborations, or thematic specializations.

Best Publications

  • From Recombination of Genes to the Estimation of Distributions I. Binary Parameters

    Heinz Mühlenbein;Gerhard Paass

  • Predictive models for the breeder genetic algorithm i. continuous parameter optimization

    Heinz Mühlenbein;Dirk Schlierkamp-Voosen

  • Paper: The parallel genetic algorithm as function optimizer

    H. Mühlenbein;M. Schomisch;J. Born

  • The equation for response to selection and its use for prediction

    Heinz Mühlenbein

  • Parallel genetic algorithms, population genetics and combinatorial optimization

    Heinz Mühlenbein

  • Evolution algorithms in combinatorial optimization

    Heinz Mühlenbein;Martina Gorges-Schleuter;Ottmar Krämer

  • Evolution in Time and Space – The Parallel Genetic Algorithm

    Heinz Mühlenbein

  • How Genetic Algorithms Really Work: Mutation and Hillclimbing.

    Heinz Mühlenbein

  • Schemata, Distributions and Graphical Models in Evolutionary Optimization

    Heinz Mühlenbein;Thilo Mahnig;Alberto Ochoa Rodriguez

  • Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions

    Heinz Mühlenbein;Thilo Mahnig

  • The science of breeding and its application to the breeder genetic algorithm (bga)

    Heinz Mühlenbein;Dirk Schlierkamp-Voosen

  • Balancing accuracy and parsimony in genetic programming

    Byoung-Tak Zhang;Heinz Mühlenbein

  • The Parallel Genetic Algorithm as Function Optimizer.

    Heinz Mühlenbein;M. Schomisch;Joachim Born

  • On the convergence of a class of estimation of distribution algorithms

    Qingfu Zhang;H. Muhlenbein

  • Strategy Adaption by Competing Subpopulations

    Dirk Schlierkamp-Voosen;Heinz Mühlenbein

  • Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor.

    Byoung-Tak Zhang;Heinz Mühlenbein

  • Convergence Theory and Applications of the Factorized Distribution Algorithm

    Heinz Muhlenbein;Thilo Mahnig

  • Fuzzy Recombination for the Breeder Genetic Algorithm

    Hans-Michael Voigt;Heinz Mühlenbein;Dragan Cvetkovic

  • PARALLEL GENETIC ALGORITHMS IN COMBINATORIAL OPTIMIZATION

    Heinz Mühlenbein

  • On the Mean Convergence Time of Evolutionary Algorithms without Selection and Mutation

    Hideki Asoh;Heinz Mühlenbein

Frequent Co-Authors

Byoung-Tak Zhang
Byoung-Tak Zhang Seoul National University
Laxmidhar Behera
Laxmidhar Behera Indian Institute of Technology Kanpur
Qingfu Zhang
Qingfu Zhang City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Heinz Mühlenbein

Trending Scientists