Many-objective optimization

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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Reformulating Preferences into Constraints for Evolutionary Multi- and Many-objective Optimization
Despite that the reference point based preference articulation plays a vital role in evolutionary multi- and many-objective …
Zhanglu Hou, Cheng He, Ran Cheng
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Solving Large-scale Many-objective Optimization Problems by Covariance Matrix Adaptation Evolution Strategy with Scalable Small Subpopulations
Despite the recent development in evolutionary multi- and many-objective optimization, the problems with large-scale decision variables …
Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng
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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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Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion
Surrogate-assisted evolutionary algorithms have played an important role in expensive optimization where a small number of …
Cheng He, 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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A two-stage R2 indicator Based Evolutionary Algorithm for Many-objective Optimization
R2 indicator based multi-objective evolutionary algorithms (R2-MOEAs) have achieved promising performance on traditional …
Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin
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An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility
During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs) have been proposed in the literature. As …
Ye Tian, Ran Cheng, Xingyi Zhang, Fan 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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