- author = "Ben McKay and Mark J. Willis and Geoffrey W. Barton",
- title = "On the Application of Genetic Programming to Chemical Process Systems",
- booktitle = "1995 IEEE Conference on Evolutionary Computation",
- year = "1995",
- volume = "2",
- pages = "701--706",
- address = "Perth, Australia",
- publisher_address = "Piscataway, NJ, USA",
- month = "29 " # nov # " - 1 " # dec,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, chemical process systems, complex nonlinear relationships, irrelevant process inputs, mathematical models, nonintuitive process features, parsimonious model structures, relevant process inputs, chemical engineering computing, chemical industry",
- ISBN = "0-7803-2759-4",
-
DOI = "
doi:10.1109/ICEC.1995.487470",
- size = "6 pages",
- abstract = "In this contribution a genetic programming approach is used to develop mathematical models of chemical process systems. Having discussed genetic programming in general, two examples are used to reveal the utility of the technique. It is shown how the method can discriminate between relevant and irrelevant process inputs, evolving to yield parsimonious model structures that accurately represent process characteristics. This removes the need for restrictive assumptions about the form of the data and the structure of the required model. In addition, as the technique determines complex nonlinear relationships in the data, non-intuitive process features are revealed with comparative ease.",
-
notes = "ICEC-95 Editors not given by IEEE, Organisers David
Fogel and Chris deSilva.
conference details at http://ciips.ee.uwa.edu.au/~dorota/icnn95.html",
