A preference-based non-dominated sorting genetic programming for bioprocess modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Wu:2014:WCICA,
  author =       "Yanling Wu and Zhongliang Zhu and Yuanyuan Zhang2",
  booktitle =    "11th World Congress on Intelligent Control and
                 Automation (WCICA 2014)",
  title =        "A preference-based non-dominated sorting genetic
                 programming for bioprocess modeling",
  year =         "2014",
  month =        jun,
  pages =        "6085--6089",
  abstract =     "Non-dominated sorting genetic programming is used to
                 make the evaluating of several objectives impersonally.
                 These objectives are the complexity, the oscillation
                 and the training errors of a model. The preference of a
                 decision-maker is integrated into non-dominated sorting
                 GP and then a preference-based non-dominated sorting
                 genetic programming is proposed. In order to improving
                 the searching efficiency, decision-maker's preference
                 is used to guide the searching direction. Last, several
                 models are selected from the Pareto front based on
                 their performance on each objective and an integrated
                 model is obtained. The approach is used to model the
                 biomass concentration and its effectiveness are
                 demonstrated.",
  keywords =     "genetic algorithms, genetic programming, Biological
                 system modelling, Educational institutions,
                 Evolutionary computation, Optimisation, Programming,
                 Sorting, non-dominated sorting, preference",
  DOI =          "doi:10.1109/WCICA.2014.7053762",
  notes =        "Also known as \cite{7053762}",
}

Genetic Programming entries for Yanling Wu Zhongliang Zhu Yuanyuan Zhang2

Citations