Evolutionary Computation in the Chemical Industry

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InCollection{Kordon:2008:ECP,

• 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 advantage",
• 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

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