Multi-Modal Optimization by Multi-Gene Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

@InProceedings{Povoa:2018:CEC,
  author =       "Rogerio C. B. L. Povoa and Adriano S. Koshiyama and 
                 Douglas M. Dias and Patricia L. Souza and 
                 Bruno A. C. Horta",
  title =        "Multi-Modal Optimization by Multi-Gene Genetic
                 Programming",
  booktitle =    "2018 IEEE Congress on Evolutionary Computation (CEC)",
  year =         "2018",
  editor =       "Marley Vellasco",
  address =      "Rio de Janeiro, Brazil",
  month =        "8-13 " # jul,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, multi-modal
                 optimization, niching methods, multi-gene genetic
                 programming, niching multi-gene parameter mapping
                 approach",
  DOI =          "doi:10.1109/CEC.2018.8477715",
  abstract =     "Genetic programming techniques allow flexibility in
                 the optimization process, making it possible to use
                 them in different areas of knowledge and providing new
                 ways for specialists to advance in their areas more
                 quickly and more accurately. This work presents a
                 preliminary analysis of a new method using multi-gene
                 genetic programming to multimodal numerical
                 optimization. The new algorithm uses some niching
                 techniques based on the clear procedure to maintain the
                 population diversity, in order to perform a
                 multivariate mapping among initial guesses to optimal
                 parameters for a system. We used a multi-modal
                 benchmark set with different characteristics and
                 difficulty levels to evaluate this new algorithm.
                 Statistical analysis suggested that this new
                 multi-modal method using multi-gene genetic programming
                 can be used for problems that requires more than a
                 single solution.",
  notes =        "WCCI2018",
}

Genetic Programming entries for Rogerio C B L Povoa Adriano Soares Koshiyama Douglas Mota Dias Patricia L Souza Bruno A C Horta

Citations