evolutionary computation

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
Cite DOI
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
Cite DOI
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
Cite DOI
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]
Diversity preservation plays an important role in the design of multi-objective evolutionary algorithms, but the diversity performance …
Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin
Cite DOI
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
Cite DOI
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
Cite DOI
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
Cite DOI
Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior
In recent years, state-of-the-art computational modeling of physical and chemical systems has shown itself to be an invaluable resource …
Xia Zhang, Bei Ding, Ran Cheng, Sebastian C. Dixon, Yao Lu
Cite DOI URL
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
Cite DOI
Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems
The effectiveness of evolutionary algorithms have been verified on multi-objective optimization, and a large number of multi-objective …
Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin
Cite DOI