#6097. Application of evolutionary and swarm optimization in computer vision: a literature survey

October 2026publication date
Proposal available till 10-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Computer Vision and Pattern Recognition;
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Abstract:
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 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.
Keywords:
Computer vision; Evolutionary algorithms; Literature survey; Swarm algorithms

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