Evolutionary Computation in the Chemical Industry

  • Arthur Kordon
Part of the Studies in Computational Intelligence book series (SCI, volume 88)

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 modeling 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, organizational, 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 optimization, effective industrial design of experiments, and spectroscopy.


evolutionary computation competitive advantage industrial applications chemical industry application issues of evolutionary computation 


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© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Arthur Kordon
    • 1
  1. 1.The Dow Chemical CompanyFreeportUSA

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