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Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization

IEEE transactions on cybernetics, 2016-12, Vol.46 (12), p.2938-2952

2016

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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization

IEEE transactions on systems, man, and cybernetics. Systems, 2021-01, Vol.51 (1), p.574-587

2021

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An improved teaching-learning-based optimization for constrained evolutionary optimization

Information sciences, 2018-08, Vol.456, p.131-144

2018

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Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images

Scientific reports, 2023-04, Vol.13 (1), p.6877-6877, Article 6877

2023

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Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution

IEEE transactions on cybernetics, 2022-10, Vol.52 (10), p.10163-10176

2022

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Breast tumor movements analysis using MRI scans in prone and supine positions

Scientific reports, 2020-03, Vol.10 (1), p.4858-4858, Article 4858

2020

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Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization

IEEE transactions on evolutionary computation, 2020-02, Vol.24 (1), p.29-43

2020

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Human-in-the-Loop Reinforcement Learning in Continuous-Action Space

IEEE transaction on neural networks and learning systems, 2024-11, Vol.35 (11), p.15735-15744

2024

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Fast parameter identification of lithium-ion batteries via classification model-assisted Bayesian optimization

Energy (Oxford), 2024-02, Vol.288, p.129667, Article 129667

2024

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An adaptive fuzzy penalty method for constrained evolutionary optimization

Information sciences, 2021-09, Vol.571, p.358-374

2021

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A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization

Complex & intelligent systems, 2023-08, Vol.9 (4), p.4615-4627

2023

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Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery

IEEE transactions on industrial electronics (1982), 2023-02, Vol.70 (2), p.1521-1531

2023

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Indicator-Based Constrained Multiobjective Evolutionary Algorithms

IEEE transactions on systems, man, and cybernetics. Systems, 2021-09, Vol.51 (9), p.5414-5426

2021

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Generating a radioheliograph image from SDO/AIA data with the machine learning method

Research in astronomy and astrophysics, 2020-12, Vol.20 (12), p.204

2020

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A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions

IEEE transactions on industrial informatics, 2019-04, Vol.15 (4), p.2044-2053

2019

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Composite Differential Evolution for Constrained Evolutionary Optimization

IEEE transactions on systems, man, and cybernetics. Systems, 2019-07, Vol.49 (7), p.1482-1495

2019

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A two-phase differential evolution for minimax optimization

Applied soft computing, 2022-12, Vol.131, p.109797, Article 109797

2022

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Individual-dependent feasibility rule for constrained differential evolution

Information sciences, 2020-01, Vol.506, p.174-195

2020

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Solving constrained optimization problems via multifactorial evolution

Applied soft computing, 2022-09, Vol.127, p.109392, Article 109392

2022

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Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process

IEEE transactions on industrial electronics (1982), 2020-04, Vol.67 (4), p.2885-2893

2020

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From Online Systems Modeling to Fault Detection for a Class of Unknown High-Dimensional Distributed Parameter Systems

IEEE transactions on industrial electronics (1982), 2023-05, Vol.70 (5), p.5317-5325

2023

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Gaussian Process-Accelerated Multiobjective Evolutionary Design of Charging Process Considering Multiple User Preferences

IEEE transactions on industrial informatics, 2024-08, Vol.20 (8), p.10123-10133

2024

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Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes

IEEE transactions on cybernetics, 2022-08, Vol.52 (8), p.7319-7327

2022

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Two-phase separation based spatiotemporal modeling of thermal processes with applications to lithium-ion batteries

Journal of energy storage, 2022-05, Vol.49, p.104050, Article 104050

2022

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A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model

IEEE transactions on industrial informatics, 2021-09, Vol.17 (9), p.5909-5918

2021

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Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization

Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization

An improved teaching-learning-based optimization for constrained evolutionary optimization

Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution

Breast tumor movements analysis using MRI scans in prone and supine positions

Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization

Human-in-the-Loop Reinforcement Learning in Continuous-Action Space

Fast parameter identification of lithium-ion batteries via classification model-assisted Bayesian optimization

An adaptive fuzzy penalty method for constrained evolutionary optimization

A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization

Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery

Indicator-Based Constrained Multiobjective Evolutionary Algorithms

Generating a radioheliograph image from SDO/AIA data with the machine learning method

A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions

Composite Differential Evolution for Constrained Evolutionary Optimization

A two-phase differential evolution for minimax optimization

Individual-dependent feasibility rule for constrained differential evolution

Solving constrained optimization problems via multifactorial evolution

Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process

From Online Systems Modeling to Fault Detection for a Class of Unknown High-Dimensional Distributed Parameter Systems

Gaussian Process-Accelerated Multiobjective Evolutionary Design of Charging Process Considering Multiple User Preferences

Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes

Two-phase separation based spatiotemporal modeling of thermal processes with applications to lithium-ion batteries

A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model

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