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Publications by Ingo Paenke


 - book
 - misc





article
Ingo Paenke, Yaochu Jin, Jürgen Branke
Balancing Population and Individual Level Adaptation in Changing Environments
Journal of Adaptive Behavior, 17, (2), pages 153-174, 2009
(Details)

Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff
The Influence of Learning on Evolution - A Mathematical Framework
Artificial Life, 2008
(Details)

Ingo Paenke, Bernhard Sendhoff, Tadeusz Kawecki
Influence of Plasticity and Learning on Evolution under Directional Selection
The American Naturalist, 170, (2), pages E47-E58, 2007
(Details)

Ingo Paenke, Jürgen Branke, Yaochu Jin
Efficient Search for Robust Solutions by Means of Evolutionary Algorithms and Fitness Approximation
IEEE Transactions on Evolutionary Computation, 10, (4), pages 405- 420, August, 2006
(Details)

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inproceedings
Ingo Paenke, Jürgen Branke, Yaochu Jin
On the Influence of Phenotype Plasticity on Genotype Diversity
IEEE Symposium on Foundations of Computational Intelligence, pages: 33-41
(Details)

Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments
In F. Almeida e Costa et al., Advances in Artificial Life, 9th European Conference on Artificial Life, pages: 355-364, Springer, LNCS, 4648
(Details)

Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff
On the Influence of Lifetime Learning on Selection Pressure
In LM. Rocha, LS. Yaeger, MA. Bedau, D. Floreano, RL. Goldstone and A. Vespignani, Artificial Life X : Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems, pages: 500--506, MIT Press, August, 2006
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book
Ingo Paenke
Dynamics of Evolution and Learning
Universitätsverlag Karlsruhe, Juni, 2008
(Details)

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phdthesis
Ingo Paenke
Dynamics of Evolution and Learning
Prof. Dr. Hartmut Schmeck / Prof. Dr. Xin Yao, 2008/02/29, PhD thesis at the Universität Karlsruhe (TH), Fakultät für Wirtschaftswissenschaften
(Details)

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techreport
Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff
The Influence of Learning on Rate of Evolution
Honda Research Institute - Europe, archiv number: 1318, (06/04), August, 2006
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misc
Ingo Paenke
Efficient Search for Robust Solutions by Means of Evolutionary Algorithms and Fitness Approximation
Diploma (master) thesis , Institute AIFB, University of Karlsruhe, Mai, 2004
(Details)

Ingo Paenke, Jürgen Ott, Kevin Reddig
Ein Tabusearch-Verfahren für das Resource Constrained Net Present Value Problem with Minimum and Maximum Time Lags (RCNPVPmax)
In M. Laub, T. Selle, Technical Report WIOR 615, Dezember, 2002
(Details)

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