Enhancing Evolutionary Algorithm Performance with Knowledge Transfer and Asynchronous Parallelism
| Autor: | Eric O. Scott |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | ACM SIGEVOlution. 16:1-3 |
| ISSN: | 1931-8499 |
| Popis: | This two-part PhD thesis (by Eric O. Scott, Advisors: Kenneth A. De Jong and Sean Luke) investigates asynchronous steady-state evolutionary algorithms and evolutionary knowledge transfer, respectively, as ways to address challenges that can make it difficult to apply evolutionary algorithms (EAs) to computationally intensive applications. A full copy of the dissertation can be found via ProQuest. |
| Databáze: | OpenAIRE |
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