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
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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DOI
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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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
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
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
Evolutionary algorithms have been shown to be powerful for solving multiobjective optimization problems, in which nondominated sorting …
Xingyi Zhang
,
Ye Tian
,
Ran Cheng
,
Yaochu Jin
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DOI
Demonstrator Selection in a Social Learning Particle Swarm Optimizer
Social learning plays an important role in behavior learning among social animals. Different from individual (asocial) learning, social …
Ran Cheng
,
Yaochu Jin
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DOI
A Multi-swarm Evolutionary Framework based on a Feedback Mechanism
Most evolutionary algorithms, including particle swarm optimization (PSO) algorithms, involve at least one population (swarm) to …
Ran Cheng
,
Chaoli Sun
,
Yaochu Jin
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DOI
Simulating Swarm Behaviuors for Optimisation by Learning from Neighbours
Competitive particle swarm optimizer (ComPSO) is a novel swarm intelligence algorithm that does not need any memory. Different from the …
Ran Cheng
,
Yaochu Jin
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DOI
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