GONG Dunwei, SUN Xiaoyan, REN Jie. Surrogate Models Based on Individual's Interval Fitness in Interactive Genetic Algorithms[J]. Chinese Journal of Electronics, 2009, 18(4): 689-694.
Citation: GONG Dunwei, SUN Xiaoyan, REN Jie. Surrogate Models Based on Individual's Interval Fitness in Interactive Genetic Algorithms[J]. Chinese Journal of Electronics, 2009, 18(4): 689-694.

Surrogate Models Based on Individual's Interval Fitness in Interactive Genetic Algorithms

  • Received Date: 2008-11-01
  • Rev Recd Date: 2009-02-01
  • Publish Date: 2009-11-25
  • We presented a novel interactive geneticalgorithm with surrogate models based on an individual'sinterval fitness in this paper. In this algorithm, the surrogate models are generated based on an individual's intervalfitness. The adopted surrogate models are two radial basis function networks to model the upper limit and thelower limit of an individual's fitness, respectively. Having been trained using the gradient descent approach withdata obtained in the process of the evolutions, these modelsare then applied to estimate all individuals' fitness in thesubsequent evolutions. The surrogate models continuouslyupdate during the evolutions in order to improve their precision. We quantitatively analyzed the performance of thealgorithm in alleviating user fatigue and increasing the opportunity to look for the optimal solutions. In addition, wealso applied the algorithm to a fashion evolutionary designsystem. The results show that the proposed algorithm isadvantageous.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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