Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming

2020/09/22 by Langdon, W. B.
#FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)

paper · doi:10.48550/arxiv.2009.10460

Abstract

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.

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