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

ACM SIGEVOlution (SIGEVO), 2020
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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