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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

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Output 3 of 85 in the submission

Article title

A Genetic Algorithm for Solving Combinatorial Problems and the Effects of Experimental Error : Applied to Optimizing Catalytic Materials

Type

D - Journal article

DOI

10.1002/qsar.200910004

Title of journal

Qsar

Article number

Volume number

Issue number

First page of article

1010

ISSN of journal

1611-020X

Year of publication

2009

URL

http://onlinelibrary.wiley.com/doi/10.1002/qsar.200910004/abstract

Number of additional authors

Additional information

This paper contributes to the practical application of evolutionary computing. As part of a funded project with ICI/Synetix (andrew_burgess@ici.com), a novel GA based techniques for mixture optimisation which gives good performance using a small number of sample mixtures was developed. The results of this work were embedded in software that was delivered to ICI/Synetix.

Interdisciplinary

Cross-referral requested

Research group

C - Physical Layer

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract