Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization

Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization

Abstract Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, where Pareto optimal solutions exhibit sparse characteristics. Ordinary large-scale multi-...

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Bibliographic Details
Main Authors: Xia Wang, Wei Zhao, Jia-Ning Tang, Zhong-Bin Dai, Ya-Ning Feng
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Large-scale sparse evolutionary algorithms
Adaptive genetics
Dynamic scoring
Sparsity of Pareto solutions
Many-objective
Online Access:https://doi.org/10.1038/s41598-025-91245-z
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https://doi.org/10.1038/s41598-025-91245-z

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