An Ecological Competition Model for Genetic Reinforcement Learning
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    Abstract:

    Premature convergence and low converging speed are the distinct weaknesses of the genetic algorithms. Using the living things' growth pattern for reference, a new model called ECM(ecological competition model) is proposed, in which the competition is considered to be in important position. In the ECM model, the congenital genetic evolution and the postnatal competition learning on individuals' level are realized in each sub-population, moreover, the competition reinforcement learning on population level is realized. The experimental results show the ECM model's effectiveness.

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曹先彬,高 隽,王煦法.基于生态竞争模型的遗传强化学习.软件学报,1999,10(6):658-662

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History
  • Received:April 20,1998
  • Revised:June 29,1998
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