Avoiding convergence in cooperative coevolution with novelty search
Cooperative coevolution is an approach for evolving solutions composed of coadapted components. Previous research has shown, however, that cooperative coevolutionary algorithms are biased towards stability: they tend to converge prematurely to equilibrium states, instead of converging to optimal or...
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| Other Authors: | , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10071/25485 |
| Country: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/25485 |