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Parallel constraint handling in a multiobjective evolutionary algorithm for the automotive deployment problem
Citation
Montgomery, J and Moser, I, Parallel constraint handling in a multiobjective evolutionary algorithm for the automotive deployment problem, Proceedings of the 6th IEEE International Conference on E-Science Workshops 2010, 7-10 December 2010, Brisbane, Australia, pp. 104-109. ISBN 978-1-4244-8988-6 (2010) [Refereed Conference Paper]
Copyright Statement
Copyright 2010 IEEE
DOI: doi:10.1109/eScienceW.2010.26
Abstract
The component deployment problem is a complex
multiobjective optimisation task faced by engineers in the automotive
industry. Thus far, the best-known solutions to this problem
have been achieved using the NSGA-II algorithm combined
with a constraint handling method based on repairing solutions
that have been rendered infeasible by the genetic operators.
It can reasonably be assumed that an approach that repairs
solutions immediately after a change has limited coverage of the
infeasible space. Exchanging solutions with other algorithms may
help enhance the search space coverage. However, we observe an
improvement in performance through parallelisation only after
increasing the complexity of the problem.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | automotive deployment, parallel optimisation, multiobjective problems, constraint handling |
| Research Division: | Information and Computing Sciences |
| Research Group: | Machine learning |
| Research Field: | Neural networks |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the information and computing sciences |
| UTAS Author: | Montgomery, J (Dr James Montgomery) |
| ID Code: | 92121 |
| Year Published: | 2010 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2014-06-06 |
| Last Modified: | 2016-01-19 |
| Downloads: | 0 |
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