Abstract
There has been a large number of research done to enhance utilizing EC for an evolved CNN architecture, but there has not been much study on using other EC approaches to develop CNN architectures, as a result, some other significant EC approaches are anticipated to be investigated for evolving CNN architectures without involving humans. PSO is chosen in this chapter because it has the benefits over traditional implementation, reduced computing cost, less parameters to tweak, and it has never been used to create the architectures of CNNs. However, because the best CNN architecture differs for different problems, the fixed-length encoding of particles in conventional PSO poses a significant problem for evolving CNN architectures, therefore a unique flexible encoding method is designed to overcome the fixed-length limitation, it is the most basic aspect of the work in this chapter.
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Sun, Y., Yen, G.G., Zhang, M. (2023). Internet Protocol Based Architecture Design. In: Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances. Studies in Computational Intelligence, vol 1070. Springer, Cham. https://doi.org/10.1007/978-3-031-16868-0_10
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