标题
Evolutionary deep learning: A survey
作者
关键词
Deep learning, Evolutionary computation, Evolutionary algorithm, Swarm intelligence, Evolutionary deep learning, Artificial intelligence
出版物
NEUROCOMPUTING
Volume 483, Issue -, Pages 42-58
出版商
Elsevier BV
发表日期
2022-02-04
DOI
10.1016/j.neucom.2022.01.099
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A PSO-based deep learning approach to classifying patients from emergency departments
- (2021) Weibo Liu et al. International Journal of Machine Learning and Cybernetics
- Gradient-Based Fly Immune Visual Recurrent Neural Network Solving Large-Scale Global Optimization
- (2021) Zhuhong Zhang et al. NEUROCOMPUTING
- A survey on evolutionary computation for complex continuous optimization
- (2021) Zhi-Hui Zhan et al. ARTIFICIAL INTELLIGENCE REVIEW
- Melt pool segmentation for additive manufacturing: A generative adversarial network approach
- (2021) Weibo Liu et al. COMPUTERS & ELECTRICAL ENGINEERING
- Self-Supervised Representation Learning for Evolutionary Neural Architecture Search
- (2021) Chen Wei et al. IEEE Computational Intelligence Magazine
- Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning
- (2021) Song Xue et al. IEEE Computational Intelligence Magazine
- SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems
- (2021) Sheng-Hao Wu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization
- (2021) Jun-Rong Jian et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Neural Architecture Transfer
- (2021) Zhichao Lu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-stage dimension reduction for expensive sparse multi-objective optimization problems
- (2021) Zheng Tan et al. NEUROCOMPUTING
- A survey: Deep learning for hyperspectral image classification with few labeled samples
- (2021) Sen Jia et al. NEUROCOMPUTING
- An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools
- (2021) Ivano Lauriola et al. NEUROCOMPUTING
- Deep multi-view learning methods: A review
- (2021) Xiaoqiang Yan et al. NEUROCOMPUTING
- A review on the attention mechanism of deep learning
- (2021) Zhaoyang Niu et al. NEUROCOMPUTING
- Multi-objective search of robust neural architectures against multiple types of adversarial attacks
- (2021) Jia Liu et al. NEUROCOMPUTING
- Two-Stage Evolutionary Neural Architecture Search for Transfer Learning
- (2021) Yu-Wei Wen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning
- (2021) Mincan Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition
- (2021) Xinyan Liang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization
- (2021) Miao Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks
- (2021) Feiran Huang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network
- (2021) Shiming Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Survey on Evolutionary Construction of Deep Neural Networks
- (2021) Xun Zhou et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning
- (2021) Tong Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration
- (2021) Xin Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization
- (2021) Jian-Yu Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction
- (2020) Bin Cao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip
- (2020) Nianyin Zeng et al. NEUROCOMPUTING
- Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines
- (2020) Yan Zhou et al. NEUROCOMPUTING
- Vulnerability of classifiers to evolutionary generated adversarial examples
- (2020) Petra Vidnerová et al. NEURAL NETWORKS
- Efficient Hyperparameter Optimization for Convolution Neural Networks in Deep Learning: A Distributed Particle Swarm Optimization Approach
- (2020) Yu Guo et al. CYBERNETICS AND SYSTEMS
- Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation
- (2020) Jian-Yu Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network
- (2020) Wu Deng et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A systematic review of deep transfer learning for machinery fault diagnosis
- (2020) Chuan Li et al. NEUROCOMPUTING
- Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
- (2020) Yanan Sun et al. IEEE Transactions on Cybernetics
- EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning
- (2020) Yuanwei Zhu et al. NEUROCOMPUTING
- Cooperative hybrid evolutionary algorithm for large scale multi-stage multi-product batch plants scheduling problem
- (2020) Yuxin Han et al. NEUROCOMPUTING
- Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation
- (2020) Maoguo Gong et al. IEEE Transactions on Neural Networks and Learning Systems
- EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification
- (2020) Hoang Lam Le et al. APPLIED SOFT COMPUTING
- A Systematic Literature Review of the Successors of “NeuroEvolution of Augmenting Topologies”
- (2020) Evgenia Papavasileiou et al. EVOLUTIONARY COMPUTATION
- Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification
- (2020) Ying Bi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Survey of Deep Learning Applications to Autonomous Vehicle Control
- (2020) Sampo Kuutti et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization
- (2020) Zi-Jia Wang et al. IEEE Transactions on Cybernetics
- Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
- (2020) Zhichao Lu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution
- (2020) Nianyin Zeng et al. NEUROCOMPUTING
- Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates
- (2020) Jian-Yu Li et al. IEEE Transactions on Cybernetics
- Evolving Deep Convolutional Variational Autoencoders for Image Classification
- (2020) Xiangru Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction
- (2020) Shu-Zi Zhou et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Maximizing Lifetime of Range-Adjustable Wireless Sensor Networks: A Neighborhood-Based Estimation of Distribution Algorithm
- (2020) Zong-Gan Chen et al. IEEE Transactions on Cybernetics
- Generation-Level Parallelism for Evolutionary Computation: A Pipeline-Based Parallel Particle Swarm Optimization
- (2020) Jian-Yu Li et al. IEEE Transactions on Cybernetics
- A survey on evolutionary machine learning
- (2019) Harith Al-Sahaf et al. JOURNAL OF THE ROYAL SOCIETY OF NEW ZEALAND
- A survey of swarm and evolutionary computing approaches for deep learning
- (2019) Ashraf Darwish et al. ARTIFICIAL INTELLIGENCE REVIEW
- Predicting Seminal Quality via Imbalanced Learning with Evolutionary Safe-Level Synthetic Minority Over-Sampling Technique
- (2019) Jieming Ma et al. Cognitive Computation
- One Pixel Attack for Fooling Deep Neural Networks
- (2019) Jiawei Su et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Large-scale evolutionary optimization: a survey and experimental comparative study
- (2019) Jun-Rong Jian et al. International Journal of Machine Learning and Cybernetics
- Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization
- (2019) Seyed Ehsan Roshan et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems
- (2019) Zi-Jia Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolutionary Generative Adversarial Networks
- (2019) Chaoyue Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor
- (2019) Yanan Sun et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolving Deep Convolutional Neural Networks for Image Classification
- (2019) Yanan Sun et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks
- (2019) Xinjie Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Completely Automated CNN Architecture Design Based on Blocks
- (2019) Yanan Sun et al. IEEE Transactions on Neural Networks and Learning Systems
- Multi-Objective Evolutionary Federated Learning
- (2019) Hangyu Zhu et al. IEEE Transactions on Neural Networks and Learning Systems
- Neural Network-Based Information Transfer for Dynamic Optimization
- (2019) Xiao-Fang Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Distributed Individuals for Multiple Peaks: A Novel Differential Evolution for Multimodal Optimization Problems
- (2019) Zong-Gan Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolving Deep Echo State Networks for Intelligent Fault Diagnosis
- (2019) Jianyu Long et al. IEEE Transactions on Industrial Informatics
- Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling
- (2019) Zi-Jia Wang et al. IEEE Transactions on Cybernetics
- Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems
- (2019) Hong Zhao et al. IEEE Transactions on Cybernetics
- Cooperative Coevolutionary Bare-Bones Particle Swarm Optimization With Function Independent Decomposition for Large-Scale Supply Chain Network Design With Uncertainties
- (2019) Xin Zhang et al. IEEE Transactions on Cybernetics
- A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
- (2019) Weibo Liu et al. IEEE Transactions on Cybernetics
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
- (2018) Xiao-Fang Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation
- (2018) Alejandro Martín et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- A Cost-Sensitive Deep Belief Network for Imbalanced Classification
- (2018) Chong Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
- (2018) Jia Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
- (2018) Zong-Gan Chen et al. IEEE Transactions on Cybernetics
- Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization
- (2018) Yong-Feng Ge et al. IEEE Transactions on Cybernetics
- Data-Driven Evolutionary Optimization: An Overview and Case Studies
- (2018) Yaochu Jin et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Historical and Heuristic-Based Adaptive Differential Evolution
- (2018) Xiao-Fang Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Evolution-Strategy-Based Automation of System Development for High-Performance Speech Recognition
- (2018) Takafumi Moriya et al. IEEE-ACM Transactions on Audio Speech and Language Processing
- Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization
- (2018) Xiao-Fang Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification
- (2018) Yanan Sun et al. IEEE Transactions on Neural Networks and Learning Systems
- Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
- (2017) Shancheng Jiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Dual-Strategy Differential Evolution with Affinity Propagation Clustering for Multimodal Optimization Problems
- (2017) Zi-Jia Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Cloudde: A Heterogeneous Differential Evolution Algorithm and Its Distributed Cloud Version
- (2017) Zhi-Hui Zhan et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A survey of deep neural network architectures and their applications
- (2017) Weibo Liu et al. NEUROCOMPUTING
- Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
- (2017) Chong Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Evolutionary Computation Meets Machine Learning: A Survey
- (2011) Jun Zhang et al. IEEE Computational Intelligence Magazine
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