Stochastic GP synthesis of heat integrated nonsharp distillation sequences

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Wang201045,
  author =       "Xiao-Hong Wang and Yu-Gang Li",
  title =        "Stochastic GP synthesis of heat integrated nonsharp
                 distillation sequences",
  journal =      "Chemical Engineering Research and Design",
  volume =       "88",
  number =       "1",
  pages =        "45--54",
  year =         "2010",
  ISSN =         "0263-8762",
  DOI =          "doi:10.1016/j.cherd.2009.06.012",
  URL =          "http://www.sciencedirect.com/science/article/B8JGF-4WT39Y6-1/2/d634c77788b840af602017d1a6ccb5f2",
  keywords =     "genetic algorithms, genetic programming, Nonsharp
                 distillation sequences, Multicomponent products, Heat
                 integration, Synthesis, Optimization",
  abstract =     "Genetic programming (GP) is used to solve the
                 synthesis problem of heat integration nonsharp
                 distillation sequences and the optimization objective
                 of it is to seek the optimal heat integration nonsharp
                 flow based on minimizing the annually total cost.
                 Meanwhile, the major technological parameters for these
                 important equipments are given. Combining with the
                 domain knowledge of chemical engineering, some
                 evolutionary factors are improved, and a set of special
                 encoding method and heat integration strategy is
                 proposed to deal with this kind of problem. The system
                 structural variable is optimized by GP and the
                 continuous variable is optimized by the complex
                 algorithm simultaneously. Because GP has the
                 automatically searching function, the optimal heat
                 integration solution can be found automatically without
                 any superstructures of nonsharp distillation sequences.
                 Three illustrating examples are presented to
                 demonstrate the effective computational strategies.",
}

Genetic Programming entries for Xiao-Hong Wang Yu-Gang Li

Citations