Gang Chen

According to our database1, Gang Chen authored at least 95 papers between 2002 and 2020.

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

Timeline

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Bibliography

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

Evolutionary Design of Long Short Term Memory (LSTM) Ensemble.
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

Effective Linear Policy Gradient Search through Primal-Dual Approximation.
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

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

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

Evolutionary Multitasking for Semantic Web Service Composition.
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

Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
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 Adaptive Clipping Approach for Proximal Policy Optimization.
CoRR, 2018

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 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

Constrained Expectation-Maximization Methods for Effective Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers.
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

Multi-objective Container Consolidation in Cloud Data Centers.
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

Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach.
Appl. Soft Comput., 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

A sandpile model for reliable actor-critic reinforcement learning.
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

Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty.
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

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 in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Generalized Compatible Function Approximation for Policy Gradient Search.
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 design of fuzzy logic controllers for medium access control in WBAN.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Many-objective genetic programming for job-shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An XCS-based algorithm for multi-objective reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Parallel Multi-objective Job Shop Scheduling Using Genetic Programming.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Using Learning Classifier Systems to Learn Stochastic Decision Policies.
IEEE Trans. Evol. Comput., 2015

A fuzzy logic based cross-layer mechanism for medium access control in WBAN.
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
Service Provision Control in Federated Service Providing Systems.
IEEE Trans. Parallel Distributed Syst., 2013

Dynamic class imbalance learning for incremental LPSVM.
Neural Networks, 2013

Chunk incremental IDR/QR LDA learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An incremental learning approach to continuous image change detection.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Class imbalance robust incremental LPSVM for data streams learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

SDE-Driven Service Provision Control.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Designing games to educate diabetic children.
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
Preserving and Exploiting Genetic Diversity in Evolutionary Programming Algorithms.
IEEE Trans. Evol. Comput., 2009

2008
Enhancing Search Performance in Unstructured P2P Networks Based on Users' Common Interest.
IEEE Trans. Parallel Distributed Syst., 2008

Coordinated Services Provision in Peer-to-Peer Environments.
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

Dynamic Self-Healing for Service Flows with Semantic Web Services.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Self-organized manufacturing resource management: An ant-colony inspired approach.
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
Extremal search of decision policies for scalable distributed applications.
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

2006
Coordinating Agents in Shop Floor Environments From a Dynamic Systems Perspective.
IEEE Trans. Ind. Informatics, 2006

2005
Maintaining System State Information in a Multiagent Environment for Effective Learning.
IEICE Trans. Inf. Syst., 2005

Coordinating Multiple Agents via Reinforcement Learning.
Auton. Agents Multi Agent Syst., 2005

2004
Agent-Mediated Genetic Super-Scheduling in Grid Environments.
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004

2003
Multi-agent coordination: a fuzzy logic based approach.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
Coordinating Multi-Agents using JavaSpaces.
Proceedings of the 9th International Conference on Parallel and Distributed Systems, 2002


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