Gang Chen
Orcid: 0000-0002-9597-497XAffiliations:
- Victoria University of Wellington, Unitec Institute of Technology, Auckland, New Zealand
- Nanyang Technological University, Singapore
According to our database1,
Gang Chen
authored at least 149 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Multi-objective distributed Web service composition - A link-dominance driven evolutionary approach.
Future Gener. Comput. Syst., June, 2023
IEEE Trans. Serv. Comput., 2023
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition.
IEEE Trans. Evol. Comput., 2023
Policy ensemble gradient for continuous control problems in deep reinforcement learning.
Neurocomputing, 2023
Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023
IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions.
IEEE Trans. Serv. Comput., 2022
Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment.
IEEE Trans. Parallel Distributed Syst., 2022
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition.
IEEE Trans. Evol. Comput., 2022
Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell.
IEEE Robotics Autom. Lett., 2022
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces.
CoRR, 2022
Appl. Soft Comput., 2022
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022
Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022
A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach.
Proceedings of the Databases Theory and Applications, 2022
Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud.
Proceedings of the IEEE International Conference on Services Computing, 2022
2021
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking.
CoRR, 2021
Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment.
IEEE Trans. Parallel Distributed Syst., 2020
A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency.
IEEE Trans. Netw. Serv. Manag., 2020
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020
Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud.
Proceedings of the Database and Expert Systems Applications, 2020
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020
A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020
2019
Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition.
CoRR, 2019
Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow.
CoRR, 2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning.
CoRR, 2019
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition.
CoRR, 2019
Automatic Device Selection and Access Policy Generation Based on User Preference for IoT Activity Workflow.
Proceedings of the 18th IEEE International Conference On Trust, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition.
Proceedings of the Database and Expert Systems Applications, 2019
Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm.
Proceedings of the Database and Expert Systems Applications, 2019
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019
Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment.
Proceedings of the 2019 IEEE International Conference on Services Computing, 2019
2018
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR, 2018
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Conference on Information Networking, 2018
EDA-based approach to comprehensive quality-aware automated semantic web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Towards Secure Smart Home IoT: Manufacturer and User Network Access Control Framework.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018
2017
Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach.
Appl. Soft Comput., 2017
GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions.
IEEE Trans. Evol. Comput., 2016
Guest editorial: special issue on evolutionary optimization, feature reduction and learning.
Soft Comput., 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
IEEE Trans. Evol. Comput., 2015
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
IEEE Trans. Parallel Distributed Syst., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, OzCHI '11, Canberra, Australia, November 28, 2011
2010
A self-organization mechanism based on cross-entropy method for P2P-like applications.
ACM Trans. Auton. Adapt. Syst., 2010
2009
IEEE Trans. Evol. Comput., 2009
2008
Enhancing Search Performance in Unstructured P2P Networks Based on Users' Common Interest.
IEEE Trans. Parallel Distributed Syst., 2008
IEEE Trans. Parallel Distributed Syst., 2008
Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Proceedings of the 10th International Conference on Control, 2008
Semantic enhanced rule driven workflow execution in Collaborative Virtual Enterprise.
Proceedings of the 10th International Conference on Control, 2008
2007
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007
2006
IEEE Trans. Ind. Informatics, 2006
2005
Maintaining System State Information in a Multiagent Environment for Effective Learning.
IEICE Trans. Inf. Syst., 2005
Auton. Agents Multi Agent Syst., 2005
2004
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004
2003
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003
2002
Proceedings of the 9th International Conference on Parallel and Distributed Systems, 2002