Abstract
AbstractEvolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in solving combinatorial and NP-hard optimization problems in various research fields. However, in the field of computer vision, related surveys have not been updated during the last decade. In this study, inspired by the recent development of deep neural networks in computer vision, which embed large-scale optimization problems, we first describe a literature survey conducted to compensate for the lack of relevant research in this area. Specifically, applications related to the genetic algorithm and differential evolution from EAs, as well as particle swarm optimization and ant colony optimization from SAs and their variants, are mainly considered in this survey.
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition
Reference134 articles.
1. Real E, Moore S, Selle A, Saxena S, Suematsu YL, Tan J, Le QV, Kurakin A (2017) Large-scale evolution of image classifiers In: International Conference on Machine Learning (ICML), 2902–2911.. JMLR.org. https://dl.acm.org/doi/10.5555/3305890.3305981.
2. Sun Y, Xue B, Zhang M, Yen GG (2020) Evolving Deep Convolutional Neural Networks for Image Classification. IEEE Trans Evol Comput 24(2):394–407. https://doi.org/10.1109/TEVC.2019.2916183.
3. Miikkulainen R, Liang J, Meyerson E, Rawal A, Fink D, Francon O, Raju B, Shahrzad H, Navruzyan A, Duffy N, Hodjat B (2019) Chapter 15 - Evolving Deep Neural Networks. In: Robert Kozma, Cesare Alippi, Yoonsuck Choe, Francesco Carlo Morabito (eds)Artificial Intelligence in the Age of Neural Networks and Brain Computing, 293–312.. Academic Press. https://doi.org/10.1016/B978-0-12-815480-9.00015-3.
4. Suganuma M, Shirakawa S, Nagao T (2017) A genetic programming approach to designing convolutional neural network architectures In: Genetic and Evolutionary Computation Conference (GECCO), 497–504.. ACM. https://doi.org/10.1145/3071178.3071229.
5. Xie L, Yuille A (2017) Genetic cnn In: International Conference on Computer Vision (ICCV).. IEEE. https://doi.org/10.1109/ICCV.2017.154.
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