Ran Cheng (程然)
Ran Cheng (程然)
Home
Accomplishments
Publications
Light
Dark
Automatic
Evolutionary algorithm
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation
Deep learning has achieved enormous breakthroughs in the field of image recognition. However, due to the time-consuming and error-prone …
Yiming Chen
,
Tianci Pan
,
Cheng He
,
Ran Cheng
Cite
DOI
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
In evolutionary multiobjective optimization, the Pareto front (PF) is approximated by using a set of representative candidate solutions …
Ye Tian
,
Xingyi Zhang
,
Ran Cheng
,
Cheng He
,
Yaochu Jin
Cite
DOI
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
Cite
DOI
Solving Large-scale Many-objective Optimization Problems by Covariance Matrix Adaptation Evolution Strategy with Scalable Small Subpopulations
Despite the recent development in evolutionary multi- and many-objective optimization, the problems with large-scale decision variables …
Huangke Chen
,
Ran Cheng
,
Jinming Wen
,
Haifeng Li
,
Jian Weng
Cite
DOI
URL
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
A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the evolutionary computation community, and …
Xingyi Zhang
,
Xiutao Zheng
,
Ran Cheng
,
Jianfeng Qiu
,
Yaochu Jin
Cite
DOI
URL
A two-stage R2 indicator Based Evolutionary Algorithm for Many-objective Optimization
R2 indicator based multi-objective evolutionary algorithms (R2-MOEAs) have achieved promising performance on traditional …
Fei Li
,
Ran Cheng
,
Jianchang Liu
,
Yaochu Jin
Cite
DOI
URL
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation
Many real-world optimization problems have more than three objectives, which has triggered increasing research interest in developing …
Ran Cheng
,
Tobias Rodemann
,
Michael Fischer
,
Markus Olhofer
,
Yaochu Jin
Cite
DOI
«
Cite
×