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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...

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Detalles Bibliográficos
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