Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks
Abstract Evolutionary optimization aims to tune the hyper-parameters during learning in a computationally fast manner. For optimization of multi-task problems, evolution is done by creating a unified search space with a dimensionality that can include all the tasks. Multi-task evoluti...
| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Springer US
2021
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| Acceso en liña: | https://hdl.handle.net/1721.1/131981 |