Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Sep 2020.
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Citing papers per year: 2021: 1; 2022: 1.
2 papers.
- 2021Evolving Open Complexitycited by 1
- 2022Failed Disruption Propagation in Integer Genetic Programmingcited by 1
- 2022Failed Disruption Propagation in Integer Genetic Programming4 Apr 2022
- 2021Evolving Open Complexity1 Dec 2021