- author = "Arthur K. Kordon",
- title = "Future Trends in Soft Computing Industrial Applications",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
- pages = "7854--7861",
- address = "Vancouver",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-7803-9487-9",
-
DOI = "
doi:10.1109/FUZZY.2006.1681930",
- size = "8 pages",
-
abstract = "The paper summarises the current state of the art of
applying soft computing solutions in the chemical
industry, based on the experience of The Dow Chemical
Company and projects the future trends in the field,
based on the expected future industrial needs. Several
examples of successful industrial applications of
different soft computing techniques are given:
automated operating discipline, based on fuzzy logic;
empirical emulators of fundamental models, based on
neural networks; accelerated new product development,
based on genetic programming, and advanced process
optimisation, based on swarm intelligence. The impact
of these applications is a significant improvement in
process operation and in much faster modelling of new
products.
The expected future needs of industry are defined as: predictive marketing, accelerated new products diffusion, high throughput modelling, manufacturing at economic optimum, predictive optimal supply-chain, intelligent security, emerging simplicity, and handling the curse of decentralisation. The future trends that are expected from the soft computing technologies, which may satisfy these needs, are as follows: perception-based modelling, integrated systems, universal role of intelligent agents, models/rules with evolved structure, and swarm intelligence-based process control.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
