Evolutionary algorithm

Evolutionary multiobjective optimization via efficient sampling-based offspring generation
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms …
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
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Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis
With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective …
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
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Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation
The architectural advancements in deep neural networks have led to remarkable leap-forwards across a broad array of computer vision …
Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
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Accelerating multi-objective neural architecture search by random-weight evaluation
For the goal of automated design of high-performance deep convolutional neural networks (CNNs), neural architecture search (NAS) …
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
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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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