"Evolutionary algorithm"

Efficient Evolutionary Neural Architecture Search by Modular Inheritable Crossover
Deep neural networks are widely used in the domain of image classification, and a large number of excellent deep neural networks have …
Cheng He, Hao Tan, Shihua Huang, Ran Cheng
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A Multi-stage Evolutionary Algorithm for Multi-objective Optimization with Complex Constraints
Constrained multi-objective optimization problems (CMOPs) are difficult to handle because objectives and constraints need to be …
Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang
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A Parallel Multi-objective Evolutionary Algorithm for Community Detection in Large-scale Complex Networks
Community detection in large-scale complex networks has recently received significant attention as the volume of available data is …
Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng
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Adaptive Simulated Binary Crossover for Rotated Multi-objective Optimization
Crossover is a crucial operation for generating promising offspring solutions in evolutionary multi-objective optimization. Among …
Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng
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Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Recently, increasing works have been proposed to drive evolutionary algorithms using machine-learning models. Usually, the performance …
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
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Solving Many-Objective Optimization Problems via Multistage Evolutionary Search
With the increase in the number of optimization objectives, balancing the convergence and diversity in evolutionary multiobjective …
Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin
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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
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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
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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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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
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