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A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization

IEEE transactions on evolutionary computation, 2009-02, Vol.13 (1), p.103-127

2009

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A Multi-Facet Survey on Memetic Computation

IEEE transactions on evolutionary computation, 2011-10, Vol.15 (5), p.591-607

2011

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A survey on evolutionary computation for complex continuous optimization

The Artificial intelligence review, 2022-01, Vol.55 (1), p.59-110

2022

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“I don’t think it should take you three days to tell me my baby is dead.” A case of fetal demise: unintended consequences of immediate release of information

Journal of the American Medical Informatics Association : JAMIA, 2023-06, Vol.30 (7), p.1301-1304

2023

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A Cost-Sensitive Deep Belief Network for Imbalanced Classification

IEEE transaction on neural networks and learning systems, 2019-01, Vol.30 (1), p.109-122

2019

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Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction

IEEE transactions on cybernetics, 2016-12, Vol.46 (12), p.2862-2873

2016

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A Generic Deep-Learning-Based Approach for Automated Surface Inspection

IEEE transactions on cybernetics, 2018-03, Vol.48 (3), p.929-940

2018

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Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2306-2318

2017

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A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning

IEEE transactions on cybernetics, 2021-07, Vol.51 (7), p.3417-3428

2021

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Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

IEEE transactions on cybernetics, 2022-07, Vol.PP (7), p.1-15

2022

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Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

IEEE transactions on evolutionary computation, 2021-08, Vol.25 (4), p.651-665

2021

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Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection

IEEE transactions on evolutionary computation, 2013-10, Vol.17 (5), p.666-685

2013

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A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

IEEE transactions on evolutionary computation, 2023-12, Vol.27 (6), p.1941-1961

2023

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Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming

IEEE transactions on evolutionary computation, 2014-04, Vol.18 (2), p.193-208

2014

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Multiobjective Multifactorial Optimization in Evolutionary Multitasking

IEEE transactions on cybernetics, 2017-07, Vol.47 (7), p.1652-1665

2017

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Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning

IEEE transactions on cybernetics, 2017-09, Vol.47 (9), p.2850-2861

2017

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Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules

IEEE transactions on cybernetics, 2017-09, Vol.47 (9), p.2951-2965

2017

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Optimizing the electronic health record: An inpatient sprint addresses provider burnout and improves electronic health record satisfaction

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.628-631

2021

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A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem

IEEE transactions on evolutionary computation, 2013-10, Vol.17 (5), p.621-639

2013

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Hybrid evolutionary computation methods for quay crane scheduling problems

Computers & operations research, 2013-08, Vol.40 (8), p.2083-2093

2013

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Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

IEEE transactions on emerging topics in computational intelligence, 2023-08, Vol.7 (4), p.1051-1064

2023

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Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach

IEEE transactions on cybernetics, 2017-12, Vol.47 (12), p.4223-4234

2017

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Evolutionary multi and many-objective optimization via clustering for environmental selection

Information sciences, 2021-11, Vol.578, p.930-949

2021

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Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.8161-8175

2024

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Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble

IEEE transaction on neural networks and learning systems, 2017-01, Vol.28 (1), p.136-148

2017

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A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization

A Multi-Facet Survey on Memetic Computation

A survey on evolutionary computation for complex continuous optimization

“I don’t think it should take you three days to tell me my baby is dead.” A case of fetal demise: unintended consequences of immediate release of information

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection

A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming

Multiobjective Multifactorial Optimization in Evolutionary Multitasking

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules

Optimizing the electronic health record: An inpatient sprint addresses provider burnout and improves electronic health record satisfaction

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem

Hybrid evolutionary computation methods for quay crane scheduling problems

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach

Evolutionary multi and many-objective optimization via clustering for environmental selection

Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble

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