Application of evolutionary and swarm optimization in computer vision: a literature survey

Takumi Nakane, Naranchimeg Bold, Haitian Sun, Xuequan Lu, Takuya Akashi, Chao Zhang
2020 IPSJ Transactions on Computer Vision and Applications  
Evolutionary 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
more » ... ant 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.
doi:10.1186/s41074-020-00065-9 fatcat:ppa34nc6zzaiboc7mxdhct6i2u