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Genetic algorithms and neural networks in the molecular design of novel fibers

Abstract:

A crucial task in polymer chemistry is the formulation of materials which satisfy strict property constraints. This paper describes the use of dynamic adaptive agents in the design of novel polymers. A neural network is used to predict the properties of a proposed polymer from its composition, while a genetic algorithm solves the inverse problem by acting as a search agent to find promising formulations. The resulting Hybrid Intelligent System provides a computationally efficient means of sea...

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Publication status:
Published

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Publisher copy:
10.1109/DEXA.2006.64

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Institution:
University of Oxford
Department:
Oxford, MPLS, Chemistry, Physical and Theoretical Chem
Role:
Author
Pages:
598-602
Publication date:
2006-01-01
DOI:
ISSN:
1529-4188
URN:
uuid:b48d4ff9-562a-4903-bcfe-48ae79c96c88
Source identifiers:
40110
Local pid:
pubs:40110
ISBN:
0-7695-2641-1

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