large scale optimization

Evolutionary multiobjective optimization via efficient sampling-based offspring generation
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms …
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
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Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
As a typical large-scale multiobjective optimization problem extracted from real-world applications, the voltage transformer ratio …
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
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Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis
With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective …
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
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Evolutionary Large-Scale Multi-Objective Optimization: A Survey
Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their …
Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin
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Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation
Large-scale multiobjective optimization problems (LSMOPs) are challenging for existing approaches due to the complexity of objective …
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
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Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation
Large-scale multiobjective optimization problems (LSMOPs) exist widely in real-world applications, and they are challenging for …
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
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Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization
Constrained multiobjective optimization problems (CMOPs) widely exist in real-world applications, and they are challenging for …
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
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Population Sizing of Evolutionary Large-Scale Multiobjective Optimization
Large-scale multiobjective optimization problems (LSMOPs) are emerging and widely existed in real-world applications, which involve a …
Cheng He, Ran Cheng
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Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization
Due to the curse of dimensionality, two main issues remain challenging for applying evolutionary algorithms (EAs) to large-scale …
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang
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Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
In this paper, we propose a framework to accelerate the computational efficiency of evolutionary algorithms on large-scale …
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao
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