Using Hierarchical Genetic Populations to Improve Solution Quality

  • J. R. Podlena
  • T. Hendtlass
Conference paper


A multi-population genetic algorithm is proposed which is hierarchical in nature. This allows the algorithm to solve problems which consist of smaller tasks contributing to the solution of an overall problem. The algorithm feeds the entire pool of individuals between local populations (solving the smaller problems) and a global population (solving the overall task). Results on categorisation tasks are presented.


Genetic Algorithm Global Population Population Transfer Parallel Genetic Algorithm Local Fitness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • J. R. Podlena
    • 1
  • T. Hendtlass
    • 1
  1. 1.Centre for Intelligent SystemsSwinburne University of TechnologyHawthornAustralia

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