Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
W. B. Langdon
TL;DR
This paper presents C++ code snippets for a multi-threaded, memory-efficient crossover method in genetic programming, suitable for large chromosomes and limited RAM environments.
Contribution
It provides a parallel crossover implementation optimized for memory efficiency in genetic programming, adaptable to various evolutionary algorithms.
Findings
Achieves memory efficiency suitable for large chromosomes
Supports multi-core parallel execution
Applicable to RAM-constrained environments
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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