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Personal Website of Christian Rempis

ICONE Method

Evolving Mid-Scale Networks with Interactively Constrained Neuro-Evolution

Details on this project will be added soon!

In the meanwhile, please refer to the publications below to learn more about the project.

Related Publications:

  • C. W. Rempis, "Evolving Complex Neuro-Controllers with Interactively Constrained Neuro-Evolution." PhD thesis, Osnabrück University, October 2012, urn:nbn:de:gbv:700-2012101710370
    PDF - Web - BibTex
  • C. W. Rempis and F. Pasemann, “Search space restriction of neuro-evolution through constrained modularization of neural networks”, in Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP), in Conjunction with ICINCO 2010. (K. Mandai, ed.), (Madeira, Portugal), pp. 13-22, SciTePress, June 2010
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  • C. W. Rempis and F. Pasemann, “An interactively constrained neuro-evolution approach for behavior control of complex robots”, in Variants of Evolutionary Algorithms for Real-World Applications (R. Chiong, T. Weise, and Z. Michalewicz, eds.), pp. 305-341, Springer, 2012
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  • C. W. Rempis and F. Pasemann, “Evolving variants of neuro-control using constraint masks”, in From Animals to Animats 12 (T. Ziemke, C. Balkenius, and J. Hallam, eds.), vol. 7426 of Lecture Notes in Computer Science, pp. 187-197, Springer Berlin / Heidelberg, 2012. 10.1007/978-3-642-33093-3_19.
    PDF - Web - BibTex - Supplemental Material