Theoretical Analysis of the Unimodal Normal Distribution Crossover for Real-coded Genetic Algorithms †

@inproceedings{Kita2004TheoreticalAO,
  title={Theoretical Analysis of the Unimodal Normal Distribution Crossover for Real-coded Genetic Algorithms †},
  author={Kita and Ono and H Kobayashi},
  year={2004}
}
Real-coded genetic algorithms (RCGAs) attract attention as global optimization methods for nonlinear functions. For RCGAs, there have been proposed many crossover operators so far. Among them, the unimodal normal distribution crossover (UNDX) developed by Ono et al. shows good performance in optimization of multi-modal and highly non-separable fitness functions. However, the performance of the crossover operators have been evaluated only through numerical experiments with some benchmark… CONTINUE READING
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