Evolutionary Computation in the Chemical Industry
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Kordon:2008:ECP,
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author = "Arthur Kordon",
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title = "Evolutionary Computation in the Chemical Industry",
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booktitle = "Evolutionary Computation in Practice",
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publisher = "Springer",
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year = "2008",
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editor = "Tina Yu and David Davis and Cem Baydar and
Rajkumar Roy",
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volume = "88",
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series = "Studies in Computational Intelligence",
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chapter = "11",
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pages = "245--262",
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keywords = "genetic algorithms, genetic programming, competitive
advantage",
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isbn13 = "978-3-540-75770-2",
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DOI = "doi:10.1007/978-3-540-75771-9_11",
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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.",
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notes = "Part of \cite{TinaYu:2008:book}",
- }
Genetic Programming entries for
Arthur K Kordon
Citations