Ke Tang

Orcid: 0000-0002-6236-2002

Affiliations:
  • Southern University of Science and Technology, Shenzhen China
  • University of Science and Technology of China, School of Computer Science and Technology, China (former)
  • Nanyang Technological University, Singapore (former)


According to our database1, Ke Tang authored at least 287 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning to Construct a Solution for the Agile Satellite Scheduling Problem With Time-Dependent Transition Times.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization.
ACM Trans. Evol. Learn. Optim., September, 2024

A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024

A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management.
IEEE Trans. Evol. Comput., August, 2024

ESSR: Evolving Sparse Sharing Representation for Multitask Learning.
IEEE Trans. Evol. Comput., June, 2024

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Large Language Models can be Guided to Evade AI-generated Text Detection.
Trans. Mach. Learn. Res., 2024

Parse Trees Guided LLM Prompt Compression.
CoRR, 2024

Backdoor Graph Condensation.
CoRR, 2024

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR, 2024

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization.
CoRR, 2024

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR, 2024

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR, 2024

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs.
CoRR, 2024

Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning.
Proceedings of the Intelligent Information Processing XII, 2024

Large Language Models as Evolutionary Optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation.
Swarm Evol. Comput., December, 2023

Difficulty and Contribution-Based Cooperative Coevolution for Large-Scale Optimization.
IEEE Trans. Evol. Comput., October, 2023

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., August, 2023

Multi-Domain Active Learning: Literature Review and Comparative Study.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective.
IEEE Trans Autom. Sci. Eng., April, 2023

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack.
ACM Trans. Intell. Syst. Technol., 2023

Fast Multi-Grid Methods for Minimizing Curvature Energies.
IEEE Trans. Image Process., 2023

Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences.
Theor. Comput. Sci., 2023

Pointer Networks Trained Better via Evolutionary Algorithms.
CoRR, 2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.
CoRR, 2023

Migrant Resettlement by Evolutionary Multi-objective Optimization.
CoRR, 2023

Dataset Condensation for Recommendation.
CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.
CoRR, 2023

Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization.
CoRR, 2023

Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.
CoRR, 2023

Large Language Models can be Guided to Evade AI-Generated Text Detection.
CoRR, 2023

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend.
CoRR, 2023

Multi-Domain Learning from Insufficient Annotations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Perturbation-Based Two-Stage Multi-Domain Active Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

A Sample Reuse Strategy for Dynamic Influence Maximization Problem.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GloDyNE: Global Topology Preserving Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation.
IEEE Trans. Intell. Transp. Syst., 2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search.
IEEE Trans. Evol. Comput., 2022

Gradient Descent Learning With Floats.
IEEE Trans. Cybern., 2022

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution.
IEEE Trans. Cybern., 2022

Generative Adversarial Construction of Parallel Portfolios.
IEEE Trans. Cybern., 2022

Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search.
Swarm Evol. Comput., 2022

Multi-objective approaches to portfolio optimization with market impact costs.
Memetic Comput., 2022

How Good Is Neural Combinatorial Optimization?
CoRR, 2022

Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration.
CoRR, 2022

Training Quantized Deep Neural Networks via Cooperative Coevolution.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zero-Shot Knowledge Graph Completion for Recommendation System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Defending Adversarial Examples by Negative Correlation Ensemble.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

Disentangled Contrastive Learning for Social Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021
A Survey on Neural Network Interpretability.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping.
ACM Trans. Embed. Comput. Syst., 2021

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution.
IEEE Trans. Evol. Comput., 2021

Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization.
IEEE Trans. Cybern., 2021

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2021

Memetic search for vehicle routing with simultaneous pickup-delivery and time windows.
Swarm Evol. Comput., 2021

An optima-identified framework with brain storm optimization for multimodal optimization problems.
Swarm Evol. Comput., 2021

Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking.
Multim. Tools Appl., 2021

Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions.
J. Mach. Learn. Res., 2021

Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses.
Int. J. Autom. Comput., 2021

Parallel exploration via negatively correlated search.
Frontiers Comput. Sci., 2021

Training Quantized Deep Neural Networks via Cooperative Coevolution.
CoRR, 2021

HydraText: Multi-objective Optimization for Adversarial Textual Attack.
CoRR, 2021

Multi-Domain Active Learning: A Comparative Study.
CoRR, 2021

Robust Dynamic Network Embedding via Ensembles.
CoRR, 2021

A New Knowledge Gradient-based Method for Constrained Bayesian Optimization.
CoRR, 2021

Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article].
IEEE Comput. Intell. Mag., 2021

On the robustness of median sampling in noisy evolutionary optimization.
Sci. China Inf. Sci., 2021

Analysis of Noisy Evolutionary Optimization When Sampling Fails.
Algorithmica, 2021

Parallel Random Embedding with Negatively Correlated Search.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Towards Robust Dynamic Network Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Particle Swarm Optimization with Moving Particles on Scale-Free Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.
IEEE Trans. Neural Networks Learn. Syst., 2020

Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems.
IEEE Trans. Evol. Comput., 2020

Running time analysis of the (1+1)-EA for robust linear optimization.
Theor. Comput. Sci., 2020

Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search.
IEEE Internet Things J., 2020

RoSANE: Robust and scalable attributed network embedding for sparse networks.
Neurocomputing, 2020

Few-shots Parameter Tuning via Co-evolution.
CoRR, 2020

ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics.
Bioinform., 2020

A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Performance Estimation in Automatic Algorithm Configuration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
QoS-Aware Web Service Selection with Internal Complementarity.
IEEE Trans. Serv. Comput., 2019

A Survey on Cooperative Co-Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2019

A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms.
IEEE Trans. Cybern., 2019

Evolutionary optimization with hierarchical surrogates.
Swarm Evol. Comput., 2019

Preface.
Nat. Comput., 2019

Negatively Correlated Search as a Parallel Exploration Search Strategy.
CoRR, 2019

Competitive Co-evolution for Dynamic Constrained Optimisation.
CoRR, 2019

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding.
CoRR, 2019

Running Time Analysis of the (1+1)-EA for Robust Linear Optimization.
CoRR, 2019

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions.
CoRR, 2019

Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise.
Algorithmica, 2019

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.
Artif. Intell., 2019

A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization.
IEEE Access, 2019

Explicit Planning for Efficient Exploration in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Stochastic and Online Learning with Individual Iterates.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Feature Selection by Pareto Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Concept Drift Adaptation by Exploiting Historical Knowledge.
IEEE Trans. Neural Networks Learn. Syst., 2018

Turning High-Dimensional Optimization Into Computationally Expensive Optimization.
IEEE Trans. Evol. Comput., 2018

Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee.
IEEE Trans. Evol. Comput., 2018

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective.
IEEE Trans. Evol. Comput., 2018

Preselection via classification: A case study on evolutionary multiobjective optimization.
Inf. Sci., 2018

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput., 2018

Attributed Network Embedding for Incomplete Structure Information.
CoRR, 2018

Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization.
CoRR, 2018

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features.
Appl. Soft Comput., 2018

The networked evolutionary algorithm: A network science perspective.
Appl. Math. Comput., 2018

A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Pareto Optimization for Subset Selection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sequence Selection by Pareto Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generalization Bounds for Regularized Pairwise Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Mutation Based Pareto Optimization for Subset Selection.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Improved Running Time Analysis of the (1+1)-ES on the Sphere Function.
Proceedings of the Intelligent Computing Theories and Application, 2018

On Multiset Selection With Size Constraints.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Quality-Sensitive Method for Learning from Crowds.
IEEE Trans. Knowl. Data Eng., 2017

Simultaneous Optimization of Airspace Congestion and Flight Delay in Air Traffic Network Flow Management.
IEEE Trans. Intell. Transp. Syst., 2017

A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition.
IEEE Trans. Cybern., 2017

An evolutionary approach for dynamic single-runway arrival sequencing and scheduling problem.
Soft Comput., 2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms.
CoRR, 2017

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms.
CoRR, 2017

Experience-based Optimization: A Coevolutionary Approach.
CoRR, 2017

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR, 2017

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes].
IEEE Comput. Intell. Mag., 2017

Search Based Software Engineering [Guest Editorial].
IEEE Comput. Intell. Mag., 2017

Memetic algorithm with route decomposing for periodic capacitated arc routing problem.
Appl. Soft Comput., 2017

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Subset Selection under Noise.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Selective Transfer Learning Method for Concept Drift Adaptation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Optimizing Ratio of Monotone Set Functions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On Subset Selection with General Cost Constraints.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Enhanced Pairwise Learning for Personalized Ranking from Implicit Feedback.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Online Ensemble Learning of Data Streams with Gradually Evolved Classes.
IEEE Trans. Knowl. Data Eng., 2016

Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2016

Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators.
IEEE Trans. Evol. Comput., 2016

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery.
IEEE Trans. Evol. Comput., 2016

Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems.
Memetic Comput., 2016

Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance.
Memetic Comput., 2016

Negatively Correlated Search.
IEEE J. Sel. Areas Commun., 2016

Global versus local search: the impact of population sizes on evolutionary algorithm performance.
J. Glob. Optim., 2016

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 2016

Success Probability of Exploration: a Concrete Analysis of Learning Efficiency.
CoRR, 2016

High-dimensional Black-box Optimization via Divide and Approximate Conquer.
CoRR, 2016

Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN.
CoRR, 2016

Target shape design optimization by evolving B-splines with cooperative coevolution.
Appl. Soft Comput., 2016

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A trajectory-based approach for object detection from video.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A non-parametric approach for learning from crowds.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Parallel Pareto Optimization for Subset Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A multi-modal optimization approach to single path planning for unmanned aerial vehicle.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Search based recommender system using many-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Incremental Learning with Concept Drift: A Knowledge Transfer Perspective.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints.
IEEE Trans. Robotics, 2015

A Learning-to-Rank Approach to Software Defect Prediction.
IEEE Trans. Reliab., 2015

Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.
IEEE Trans. Evol. Comput., 2015

History-Based Topological Speciation for Multimodal Optimization.
IEEE Trans. Evol. Comput., 2015

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems.
IEEE Trans. Evol. Comput., 2015

Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas.
IEEE Trans. Cybern., 2015

Designing benchmark problems for large-scale continuous optimization.
Inf. Sci., 2015

Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization".
Inf. Sci., 2015

Many-Objective Evolutionary Algorithms: A Survey.
ACM Comput. Surv., 2015

Negatively Correlated Cooperative Search.
CoRR, 2015

Active Learning from Crowds with Unsure Option.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Increasingly Cautious Optimism for Practical PAC-MDP Exploration.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

QoS-aware long-term based service composition in cloud computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Local ensemble surrogate assisted crowding differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A new Evolutionary multi-objective algorithm for Convex Hull Maximization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Frequency Fitness Assignment.
IEEE Trans. Evol. Comput., 2014

Population-based Algorithm Portfolios with automated constituent algorithms selection.
Inf. Sci., 2014

Multiobjective genetic programming for maximizing ROC performance.
Neurocomputing, 2014

A new self-adaptation scheme for differential evolution.
Neurocomputing, 2014

A review of concurrent optimisation methods.
Int. J. Bio Inspired Comput., 2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., 2014

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

ArchRanker: A ranking approach to design space exploration.
Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Finding convex hull vertices in metric space.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolving exact integer algorithms with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An improved Two Archive Algorithm for Many-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

What are dynamic optimization problems?
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

A framework for finding robust optimal solutions over time.
Memetic Comput., 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
CoRR, 2013

A memetic algorithm for uncertain Capacitated Arc Routing Problems.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Gradient Boosting-Based Negative Correlation Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Semi-supervised Ranking via List-Wise Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Pipe failure prediction: A data mining method.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Finding Robust Solutions to Dynamic Optimization Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Combining Semi-Supervised and active learning for hyperspectral image classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Impact of problem decomposition on Cooperative Coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Evolving Distributed Algorithms With Genetic Programming.
IEEE Trans. Evol. Comput., 2012

A large population size can be unhelpful in evolutionary algorithms.
Theor. Comput. Sci., 2012

Evolutionary Optimization: Pitfalls and Booby Traps.
J. Comput. Sci. Technol., 2012

Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems.
J. Comput. Sci. Technol., 2012

Feature selection for MAUC-oriented classification systems.
Neurocomputing, 2012

A Study on Scalable Representations for Evolutionary Optimization of Ground Structures.
Evol. Comput., 2012

An Empirical Study of MAUC in Multi-class Problems with Uncertain Cost Matrices
CoRR, 2012

Minimax Classifier for Uncertain Costs
CoRR, 2012

Using computational intelligence for large scale air route networks design.
Appl. Soft Comput., 2012

Community Detection Using Cooperative Co-evolutionary Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Learning-to-Rank Algorithm for Constructing Defect Prediction Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A developmental solution to (dynamic) capacitated arc routing problems using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Characterizing environmental changes in Robust Optimization Over Time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2011

Scalability of generalized adaptive differential evolution for large-scale continuous optimization.
Soft Comput., 2011

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization
CoRR, 2011

Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate.
Sci. China Inf. Sci., 2011

Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Cooperative Co-evolution with Weighted Random Grouping for Large-Scale Crossing Waypoints Locating in Air Route Network.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Alleviate the Hypervolume Degeneration Problem of NSGA-II.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Novel Loop Structures and the Evolution of Mathematical Algorithms.
Proceedings of the Genetic Programming - 14th European Conference, 2011

A Memetic Genetic Programming with decision tree-based local search for classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Classification-assisted Differential Evolution for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A Memetic Algorithm for Multi-Level Redundancy Allocation.
IEEE Trans. Reliab., 2010

Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems.
IEEE Trans. Reliab., 2010

Population-Based Algorithm Portfolios for Numerical Optimization.
IEEE Trans. Evol. Comput., 2010

Analysis of Computational Time of Simple Estimation of Distribution Algorithms.
IEEE Trans. Evol. Comput., 2010

Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization.
Memetic Comput., 2010

QoS-aware semantic web service composition for SOAs.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2010

Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning.
Proceedings of the Parallel Problem Solving from Nature, 2010

Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

AOAB: automated optimization algorithm benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Enhanced Maximum AUC Linear Classifier.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Robust optimization over time - A new perspective on dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Capacitated arc routing problem in uncertain environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using GP to evolve decision rules for classification in financial data sets.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Global Repair Operator for Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2009

Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization.
Memetic Comput., 2009

Selective negative correlation learning approach to incremental learning.
Neurocomputing, 2009

From nature to computing and back.
Frontiers Comput. Sci. China, 2009

Diversity exploration and negative correlation learning on imbalanced data sets.
Proceedings of the International Joint Conference on Neural Networks, 2009

The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Feature Selection for Maximizing the Area Under the ROC Curve.
Proceedings of the ICDM Workshops 2009, 2009

An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A multi-objective approach to Redundancy Allocation Problem in parallel-series systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-start JADE with knowledge transfer for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Improved memetic algorithm for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

When is an estimation of distribution algorithm better than an evolutionary algorithm?
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Large scale evolutionary optimization using cooperative coevolution.
Inf. Sci., 2008

Special Issue on "Nature Inspired Problem-Solving".
Inf. Sci., 2008

Selective negative correlation learning algorithm for incremental learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

An immigrants scheme based on environmental information for genetic algorithms in changing environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multilevel cooperative coevolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Self-adaptive differential evolution with neighborhood search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-objective approach to testing resource allocation in modular software systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A multi-objective evolutionary approach to aircraft landing scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Differential evolution for high-dimensional function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

On the analysis of average time complexity of estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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