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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/148534
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- Parallel constraint handling in a multiobjective evolutionary algorithm for the automotive deployment problem
- Montgomery, James; Moser, I.
- 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.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Proceedings of the 6th IEEE International Conference on e-Science Workshops (e-ScienceW 2010), Brisbane, Queensland, Australia, 07-10 December 2010, pp. 104-109
- Publication year
- FOR Code(s)
- 010303 Optimisation; 080108 Neural, Evolutionary and Fuzzy Computation; 0805 Distributed Computing
- Automotive deployment; Constraint handling; Evolutionary algorithms; Multiobjective problems; Parallel optimisation
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- Publisher URL
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