Cargando…
Multi-objective Combinatorial Generative Adversarial Optimization and Its Application in Crowdsensing
With the increasing of the decision variables in multi-objective combinatorial optimization problems, the traditional evolutionary algorithms perform worse due to the low efficiency for generating the offspring by a stochastic mechanism. To address the issue, a multi-objective combinatorial generati...
Autores principales: | Guo, Yi-nan, Ji, Jianjiao, Tan, Ying, Cheng, Shi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354827/ http://dx.doi.org/10.1007/978-3-030-53956-6_38 |
Ejemplares similares
-
Centered Multi-Task Generative Adversarial Network for Small Object Detection
por: Wang, Hongfeng, et al.
Publicado: (2021) -
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks
por: Guo, Baoqing, et al.
Publicado: (2019) -
Generative Adversarial Networks and Its Applications in Biomedical Informatics
por: Lan, Lan, et al.
Publicado: (2020) -
Incentivizing Verifiable Privacy-Protection Mechanisms for Offline Crowdsensing Applications
por: Sun, Jiajun, et al.
Publicado: (2017) -
Robust Data Augmentation Generative Adversarial Network for Object Detection
por: Lee, Hyungtak, et al.
Publicado: (2022)