Pareto optimization

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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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 Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization
Diversity preservation is a crucial technique in multiobjective evolutionary algorithms (MOEAs), which aims at evolving the population …
Ye Tian, Cheng He, Ran Cheng, 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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Test Problems for Large-Scale Multiobjective and Many-Objective Optimization
The interests in multiobjective and many-objective optimization have been rapidly increasing in the evolutionary computation community. …
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
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A Multi-objective Evolutionary Algorithm Based on an Enhanced Inverted Generational Distance Metric
As a pivotal component in multi-objective evolutionary algorithms (MOEAs), the environmental selection determines the quality of …
Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin
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A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
In evolutionary multiobjective optimization, maintaining a good balance between convergence and diversity is particularly crucial to …
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
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