Adaptive Reservoir Genetic Algorithm with On-Line Decision Making

  • Cristian Munteanu
  • Agostinho Rosa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2439)


It is now common knowledge that blind search algorithms cannot perform with equal efficiency on all possible optimization problems defined on a domain. This knowledge applies also to Genetic Algorithms when viewed as global and blind optimizers. From this point of view it is necessary to design algorithms capable of adapting their search behavior by making use in a direct fashion of the knowledge pertaining to the search landscape. The paper introduces a novel adaptive Genetic Algorithm where the exploration / exploitation is directly controlled during evolution using a Bayesian decision process. Test cases are analyzed as to how parameters affect the search behavior of the algorithm.


Search Space Search Behavior Brain Computer Interface Promising Region Adaptive Genetic Algorithm 
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 Berlin Heidelberg 2002

Authors and Affiliations

  • Cristian Munteanu
    • 1
  • Agostinho Rosa
    • 1
  1. 1.LaSEEB, Instituto de Sistemas e Robotica, Instituto Superior TecnicoLisboaPortugal

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