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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:Artificial Intelligence and Image Processing
Research Field:Neural, Evolutionary and Fuzzy Computation
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
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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