Evolutionary Computation in the Chemical Industry

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Arthur Kordon",
  title =        "Evolutionary Computation in the Chemical Industry",
  booktitle =    "Evolutionary Computation in Practice",
  publisher =    "Springer",
  year =         "2008",
  editor =       "Tina Yu and David Davis and Cem Baydar and 
                 Rajkumar Roy",
  volume =       "88",
  series =       "Studies in Computational Intelligence",
  chapter =      "11",
  pages =        "245--262",
  keywords =     "genetic algorithms, genetic programming, competitive
  isbn13 =       "978-3-540-75770-2",
  DOI =          "doi:10.1007/978-3-540-75771-9_11",
  abstract =     "Evolutionary computation has created significant value
                 in the chemical industry by improving manufacturing
                 processes and accelerating new product discovery. The
                 key competitive advantages of evolutionary computation,
                 based on industrial applications in the chemical
                 industry are defined as: no a priori modelling
                 assumptions, high quality empirical models, easy
                 integration in existing industrial work processes,
                 minimal training of the final user, and low total cost
                 of development, deployment, and maintenance. An
                 overview of the key technical, organisational, and
                 political issues that need to be resolved for
                 successful application of EC in industry is given in
                 the chapter. Examples of successful application areas
                 are: inferential sensors, empirical emulators of
                 mechanistic models, accelerated new product
                 development, complex process optimisation, effective
                 industrial design of experiments, and spectroscopy.",
  notes =        "Part of \cite{TinaYu:2008:book}",

Genetic Programming entries for Arthur K Kordon