Multiobjective optimization

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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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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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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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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Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection
Recently, by taking advantage of evolutionary multiobjective optimization techniques in diversity preservation, the means of …
Ran Cheng, Miqing Li, Ke Li, 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 Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
To approximate the Pareto front, most existing multiobjective evolutionary algorithms store the nondominated solutions found so far in …
Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff
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Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts
Inverse model based multiobjective evolutionary algorithm aims to sample candidate solutions directly in the objective space, which …
Ran Cheng, Yaochu Jin, Kaname Narukawa
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