Theoretical basis of parameter tuning for finding optima near the boundaries of search spaces in real-coded genetic algorithms

@article{Someya2012TheoreticalBO,
  title={Theoretical basis of parameter tuning for finding optima near the boundaries of search spaces in real-coded genetic algorithms},
  author={Hiroshi Someya},
  journal={Soft Computing},
  year={2012},
  volume={16},
  pages={23-45}
}
Studies on parameter tuning in evolutionary algorithms are essential for achieving efficient adaptive searches. This paper discusses parameter tuning in real-valued crossover operators theoretically. The theoretical analysis is devoted to improving robustness of real-coded genetic algorithms (RCGAs) for finding optima near the boundaries of bounded search spaces, which can be found in most real-world applications. The proposed technique for crossover-parameter tuning is expressed mathematically… CONTINUE READING

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