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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2009.10460 |
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| _version_ | 1866915982211022848 |
|---|---|
| author | Langdon, W. B. |
| author_facet | Langdon, W. B. |
| contents | C++ code snippets from a multi-core parallel memory-efficient crossover for genetic programming are given. They may be adapted for separate generation evolutionary algorithms where large chromosomes or small RAM require no more than M + (2 times nthreads) simultaneously active individuals. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2009_10460 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming Langdon, W. B. Neural and Evolutionary Computing C++ code snippets from a multi-core parallel memory-efficient crossover for genetic programming are given. They may be adapted for separate generation evolutionary algorithms where large chromosomes or small RAM require no more than M + (2 times nthreads) simultaneously active individuals. |
| title | Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming |
| topic | Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2009.10460 |