首页|Findings from Shenzhen University Provides New Data on Computational Intelligenc e (Evolutionary Large-scale Multiobjective Optimization Via Autoencoder-based Pr oblem Transformation)
Findings from Shenzhen University Provides New Data on Computational Intelligenc e (Evolutionary Large-scale Multiobjective Optimization Via Autoencoder-based Pr oblem Transformation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g originating from Shenzhen, People’s Republic of China, by NewsRxcorrespondent s, research stated, “Addressing the challenge of efficiently handling high-dimen sional searchspaces in solving large-scale multiobjective optimization problems (LMOPs) becomes an emerging researchtopic in evolutionary computation. In resp onse, this paper proposes a new evolutionary optimizer with atactic of autoenco der-based problem transformation (APT).”
ShenzhenPeople’s Republic of ChinaAs iaComputational IntelligenceMachine LearningShenzhen University
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