A Synergistic MOEA Algorithm with GANs for Complex Data Analysis

A Synergistic MOEA Algorithm with GANs for Complex Data Analysis

The multi-objective evolutionary algorithm optimization (MOEA) is a challenging but critical approach for tackling complex data analysis problems. However, prevailing MOEAs often rely on single strategies to obtain optimal solutions, leading to concerns such as premature convergence and insufficient...

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Bibliographic Details
Main Authors: Weihua Qian, Hang Xu, Houjin Chen, Lvqing Yang, Yuanguo Lin, Rui Xu, Mulan Yang, Minghong Liao
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
multi-objective optimization
evolutionary algorithm
generative adversarial network
complex data analysis
Online Access:https://www.mdpi.com/2227-7390/12/2/175

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https://www.mdpi.com/2227-7390/12/2/175

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