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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

IEEE transactions on cybernetics, 2020-09, Vol.50 (9), p.3840-3854

2020

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Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

IEEE transactions on evolutionary computation, 2018-08, Vol.22 (4), p.501-514

2018

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Visualization and Performance Metric in Many-Objective Optimization

IEEE transactions on evolutionary computation, 2016-06, Vol.20 (3), p.386-402

2016

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Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms

IEEE transactions on evolutionary computation, 2014-04, Vol.18 (2), p.269-285

2014

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A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

IEEE transaction on neural networks and learning systems, 2019-08, Vol.30 (8), p.2295-2309

2019

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Learn to Adapt for Self-Supervised Monocular Depth Estimation

IEEE transaction on neural networks and learning systems, 2023-07, Vol.PP, p.1-13

2023

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Constraint Handling in Multiobjective Evolutionary Optimization

IEEE transactions on evolutionary computation, 2009-06, Vol.13 (3), p.514-525

2009

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Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction

IEEE transactions on cybernetics, 2017-01, Vol.47 (1), p.38-51

2017

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A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

IEEE transactions on evolutionary computation, 2019-08, Vol.23 (4), p.660-674

2019

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Evolving Deep Convolutional Neural Networks for Image Classification

IEEE transactions on evolutionary computation, 2020-04, Vol.24 (2), p.394-407

2020

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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

2022

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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

IEEE transactions on evolutionary computation, 2019-04, Vol.23 (2), p.173-187

2019

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Completely Automated CNN Architecture Design Based on Blocks

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1242-1254

2020

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Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

IEEE transactions on evolutionary computation, 2020-04, Vol.24 (2), p.350-364

2020

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Knee-Based Decision Making and Visualization in Many-Objective Optimization

IEEE transactions on evolutionary computation, 2021-04, Vol.25 (2), p.292-306

2021

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Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement

IEEE transactions on evolutionary computation, 2016-02, Vol.20 (1), p.145-160

2016

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Particle swarm optimization of deep neural networks architectures for image classification

Swarm and evolutionary computation, 2019-09, Vol.49, p.62-74

2019

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Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization

IEEE transactions on evolutionary computation, 2021-02, Vol.25 (1), p.117-129

2021

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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

IEEE transactions on evolutionary computation, 2019-02, Vol.23 (1), p.89-103

2019

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Performance Metric Ensemble for Multiobjective Evolutionary Algorithms

IEEE transactions on evolutionary computation, 2014-02, Vol.18 (1), p.131-144

2014

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Evolutionary Multiobjective Optimization With Robustness Enhancement

IEEE transactions on evolutionary computation, 2020-06, Vol.24 (3), p.494-507

2020

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A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization

IEEE transactions on evolutionary computation, 2019-10, Vol.23 (5), p.748-761

2019

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Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization

IEEE transactions on evolutionary computation, 2020-06, Vol.24 (3), p.551-565

2020

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Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

IEEE transaction on neural networks and learning systems, 2021-12, Vol.32 (12), p.5392-5403

2021

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A novel predictive method based on key points for dynamic multi-objective optimization

Expert systems with applications, 2022-03, Vol.190, p.116127, Article 116127

2022

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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

Visualization and Performance Metric in Many-Objective Optimization

Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

Learn to Adapt for Self-Supervised Monocular Depth Estimation

Constraint Handling in Multiobjective Evolutionary Optimization

Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction

A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

Evolving Deep Convolutional Neural Networks for Image Classification

Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

Completely Automated CNN Architecture Design Based on Blocks

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

Knee-Based Decision Making and Visualization in Many-Objective Optimization

Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement

Particle swarm optimization of deep neural networks architectures for image classification

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Performance Metric Ensemble for Multiobjective Evolutionary Algorithms

Evolutionary Multiobjective Optimization With Robustness Enhancement

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization

Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization

Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

A novel predictive method based on key points for dynamic multi-objective optimization

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