Publication Details
Title: Adaptive Population Models for Offspring Populations and Parallel Evolutionary Algorithms
Author: J. Laessig and D. Sudholt
Group: Algorithms
Date: January 2011
PDF: http://www.icsi.berkeley.edu/pubs/algorithms/adaptivepopulationmodels11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the 11th Foundations of Genetic Algorithms Workshop (FOGA XI), pp. 181-192, Schwarzenberg, Austria
Bibliographic Reference:
J. Laessig and D. Sudholt. Adaptive Population Models for Offspring Populations and Parallel Evolutionary Algorithms. Proceedings of the 11th Foundations of Genetic Algorithms Workshop (FOGA XI), pp. 181-192, Schwarzenberg, Austria, January 2011
Author: J. Laessig and D. Sudholt
Group: Algorithms
Date: January 2011
PDF: http://www.icsi.berkeley.edu/pubs/algorithms/adaptivepopulationmodels11.pdf
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
Proceedings of the 11th Foundations of Genetic Algorithms Workshop (FOGA XI), pp. 181-192, Schwarzenberg, Austria
Bibliographic Reference:
J. Laessig and D. Sudholt. Adaptive Population Models for Offspring Populations and Parallel Evolutionary Algorithms. Proceedings of the 11th Foundations of Genetic Algorithms Workshop (FOGA XI), pp. 181-192, Schwarzenberg, Austria, January 2011