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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Popovici, E. De Jong, K. |
| Copyright Year | 2006 |
| Description | Author affiliation: George Mason Univ., Fairfax (Popovici, E.; De Jong, K.) |
| Abstract | There continues to be a growing interest in the use of coevolutionary algorithms (CoEAs) to solve difficult computational problems. In particular, cooperative CoEAs are often used for optimization by means of problem decomposition. In addition to the parameters of traditional evolutionary algorithms (EAs), CoEAs have a set of coevolution specific parameters whose values can greatly influence performance. In this paper we study the effects on optimization performance of a parameter called update timing, which controls whether the CoEA runs its subcomponents sequentially or in parallel. This has been studied in [T. Jansen and R. P. Wiegand. Sequential versus parallel cooperative coevolutionary (1+1) EAs. In Proceedings of the IEEE International Congress on Evolutionary Computation. IEEE Press, 2003.] for pseudo-boolean functions. By contrast, we perform the analysis for functions defined on continuous real-number domains. We show the performance effects to be dependent on a problem property called best-response curves and use dynamics analysis to explain this dependency. |
| Starting Page | 1610 |
| Ending Page | 1617 |
| File Size | 364511 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780394879 |
| DOI | 10.1109/CEC.2006.1688501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-16 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Timing Collaboration Concurrent computing Performance analysis Evolutionary computation Optimization methods Assembly Collaborative work Aggregates Computer science |
| Content Type | Text |
| Resource Type | Article |
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