Convergence

Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
Offspring generation plays an important role in evolutionary multiobjective optimization. However, generating promising candidate …
Cheng He, Ran Cheng, Danial Yazdani
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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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Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization
Acquisition functions for surrogate-assisted many-objective optimization require a delicate balance between convergence and diversity. …
Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann
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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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Solving Many-Objective Optimization Problems via Multistage Evolutionary Search
With the increase in the number of optimization objectives, balancing the convergence and diversity in evolutionary multiobjective …
Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin
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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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A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization
Both convergence and diversity are crucial to evolutionary many-objective optimization, whereas most existing dominance relations show …
Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin
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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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A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
The current literature of evolutionary many-objective optimization is merely focused on the scalability to the number of objectives, …
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
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Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation
Many real-world optimization problems have more than three objectives, which has triggered increasing research interest in developing …
Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin
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