Multi-threaded memory efficient crossover in C++ for generational genetic programming
Copyright policy ) Langdon, W. B.;
Multi-threaded memory efficient crossover in C++ for generational genetic programming
C++ code snippets from a multi-core parallel memory-efficient crossover for genetic programming are given here . They may be adapted for separate generation evolutionary algorithms where large chromosomes or small RAM require no more than M + 2 x nthreads simultaneously active individuals.
- University College London United Kingdom
FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)
FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 6
Top 10%
Top 10%
Top 10%
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