Multimodal Function Optimization Using Minimal Representation Size Clustering and Its Application to Planning Multipaths

@article{Hocaoglu1997MultimodalFO,
  title={Multimodal Function Optimization Using Minimal Representation Size Clustering and Its Application to Planning Multipaths},
  author={Cem Hocaoglu and Arthur C. Sanderson},
  journal={Evolutionary Computation},
  year={1997},
  volume={5},
  pages={81-104}
}
A novel genetic algorithm (GA) using minimal representation size cluster (MRSC) analysis is designed and implemented for solving multimodal function optimization problems. The problem of multimodal function optimization is framed within a hypothesize-and-test paradigm using minimal representation size (minimal complexity) for species formation and a GA. A multiple-population GA is developed to identify different species. The number of populations, thus the number of different species, is… CONTINUE READING

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