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| Content Provider | ACM Digital Library |
|---|---|
| Author | Tettamanzi, Andrea Giacobini, Mario Tomassini, Marco |
| Abstract | We present discrete stochastic mathematical models for the growth curves of synchronous and synchronous evolutionary algorithms with populations structured ccording to a random graph. We show that, to good approximation, randomly structured and panmictic populations have the some growth behavior. Furthermore, we show that global selection intensity depends on the update policy. The validity of the models is confirmed by comparison with experimental results of simulations. We also present experimental results on small-world nd scale-free population graph topologies. We show that they lead to qualitatively similar results. However, the different nature of the nodes can be exploited to obtain more varied evolutionary behavior. |
| Starting Page | 1333 |
| Ending Page | 1340 |
| Page Count | 8 |
| File Format | |
| ISBN | 1595930108 |
| DOI | 10.1145/1068009.1068224 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-06-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Takeover times Evolutionary algorithms Structured populations Small-world networks |
| Content Type | Text |
| Resource Type | Article |
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