Evolution under Length Constraints for CNN Architecture design. (arXiv:2305.03416v1 [cs.CV])

In recent years, the CNN architectures designed by evolution algorithms have
proven to be competitive with handcrafted architectures designed by experts.
However, these algorithms need a lot of computational power, which is beyond
the capabilities of most researchers and engineers. To overcome this problem,
we propose an evolution architecture under length constraints. It consists of
two algorithms: a search length strategy to find an optimal space and a search
architecture strategy based on genetic algorithm to find the best individual …

algorithms architecture architectures arxiv beyond cnn computational constraints design engineers evolution experts power researchers