Ran Cheng (程然)
Ran Cheng (程然)
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A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Many real-world optimization problems are challenging because the evaluation of solutions is computationally expensive. As a result, …
Kanzhen Wan
,
Cheng He
,
Auraham Camacho
,
Ke Shang
,
Ran Cheng
,
Hisao Ishibuchi
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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
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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
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DOI
A Visualization Method for Benchmark Studies of Multimodal Optimization
Ran Cheng
,
Miqing Li
,
Xin Yao
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Adjusting Parallel Coordinates for Investigating Multi-objective Search
Visualizing a high-dimensional solution set over the evolution process is a viable way to investigate the search behavior of …
Liangli Zhen
,
Miqing Li
,
Ran Cheng
,
Dezhong Peng
,
Xin Yao
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DOI
Nature-Inspired Graph Optimization for Dimensionality Reduction
Graph-based dimensionality reduction has attracted a lot of attention in recent years. Such methods aim to exploit the graph …
Murillo G. Carneiro
,
Thiago H. Cupertino
,
Ran Cheng
,
Yaochu Jin
,
Liang Zhao
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DOI
Parallel Peaks: A Visualization Method for Benchmark Studies of Multimodal Optimization
Multimodal optimization has attracted increasing interest recently. Despite the emergence of various multimodal optimization algorithms …
Ran Cheng
,
Miqing Li
,
Xin Yao
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DOI
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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DOI
Empirical Analysis of a Tree-based Efficient Non-dominated Sorting Approach for Many-objective Optimization
Non-dominated sorting has been widely adopted in evolutionary multi-objective optimization. Many approaches to non-dominated sorting …
Xingyi Zhang
,
Ye Tian
,
Ran Cheng
,
Yaochu Jin
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DOI
Network Structural Optimization Based on Swarm Intelligence for Highlevel Classification
While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain …
Murillo G. Carneiro
,
Liang Zhao
,
Ran Cheng
,
Yaochu Jin
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DOI
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