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Qualities, challenges and future of genetic algorithms: a literature review
[article]
2021
arXiv
pre-print
Genetic algorithms, computer programs that simulate natural evolution, are increasingly applied across many disciplines. They have been used to solve various optimisation problems from neural network architecture search to strategic games, and to model phenomena of adaptation and learning. Expertise on the qualities and drawbacks of this technique is largely scattered across the literature or former, motivating an compilation of this knowledge at the light of the most recent developments of the
arXiv:2011.05277v3
fatcat:7wltstikf5crxkf73vekiee2hi