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Gang Chen
ORCID
Publication Activity (10 Years)
Years Active: 2002-2024
Publications (10 Years): 115
Top Topics
Reinforcement Learning
Service Composition
Genetic Programming
Job Shop Scheduling
Top Venues
CEC
CoRR
Australasian Conference on Artificial Intelligence
GECCO (Companion)
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Publications
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Binglin Wu
,
Xingquan Zuo
,
Gang Chen
,
Guanqun Ai
,
Xing Wan
Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes.
Comput. Ind. Eng.
188 (2024)
Longfei Felix Yan
,
Hui Ma
,
Gang Chen
Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds.
GECCO
(2024)
Ramya Anasseriyil Viswambaran
,
Mohammad Nekooei
,
Gang Chen
,
Bing Xue
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search.
CEC
(2024)
Victoria Huang
,
Gang Chen
,
Xingquan Zuo
,
Albert Y. Zomaya
,
Nasrin Sohrabi
,
Zahir Tari
,
Qiang Fu
Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach.
IEEE Trans. Cybern.
54 (5) (2024)
Ramya Anasseriyil Viswambaran
,
Mohammad Nekooei
,
Gang Chen
,
Bing Xue
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms.
CEC
(2024)
Kirita-Rose Escott
,
Hui Ma
,
Gang Chen
Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing.
EvoCOP
(2023)
Victoria Huang
,
Chen Wang
,
Samik Datta
,
Bryce Chen
,
Gang Chen
,
Hui Ma
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization.
AI (2)
(2023)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Harith Al-Sahaf
,
Mengjie Zhang
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
AI (2)
(2023)
Gang Chen
,
Victoria Huang
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training.
IJCAI
(2023)
Tao Shi
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Auto-Scaling Containerized Applications in Geo-Distributed Clouds.
IEEE Trans. Serv. Comput.
16 (6) (2023)
Zhengxin Fang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines.
AI (2)
(2023)
Guoqiang Liu
,
Gang Chen
,
Victoria Huang
Policy ensemble gradient for continuous control problems in deep reinforcement learning.
Neurocomputing
548 (2023)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Multi-objective distributed Web service composition - A link-dominance driven evolutionary approach.
Future Gener. Comput. Syst.
143 (2023)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition.
IEEE Trans. Evol. Comput.
27 (3) (2023)
Chen Wang
,
Victoria Huang
,
Gang Chen
,
Hui Ma
,
Bryce Chen
,
Jochen Schmidt
Learning to Solve Climate Sensor Placement Problems with a Transformer.
CoRR
(2023)
Anjali de Silva
,
Gang Chen
,
Hui Ma
,
Seyed Mohammad Nekooei
Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks.
PRICAI (2)
(2023)
Fengyang Sun
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias.
CEC
(2023)
Gang Chen
,
Victoria Huang
Deep Metric Tensor Regularized Policy Gradient.
CoRR
(2023)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
,
Jürgen Branke
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures.
IEEE Trans. Emerg. Top. Comput. Intell.
6 (1) (2022)
Benjamin Curran
,
Seyed Mohammad Nekooei
,
Gang Chen
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach.
AI
(2022)
Guanqun Ai
,
Xingquan Zuo
,
Gang Chen
,
Binglin Wu
Deep Reinforcement Learning based dynamic optimization of bus timetable.
Appl. Soft Comput.
131 (2022)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition.
IEEE Trans. Evol. Comput.
26 (3) (2022)
Kirita-Rose Escott
,
Hui Ma
,
Gang Chen
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing.
AI
(2022)
Gang Chen
,
Victoria Huang
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces.
CoRR
(2022)
Yuguang Zhao
,
Gang Chen
,
Hui Ma
,
Xingquan Zuo
,
Guanqun Ai
Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach.
AI
(2022)
Victoria Huang
,
Chen Wang
,
Hui Ma
,
Gang Chen
,
Kameron Christopher
Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning.
ICSOC
(2022)
Tao Shi
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment.
IEEE Trans. Parallel Distributed Syst.
33 (8) (2022)
Yongbo Yu
,
Tao Shi
,
Hui Ma
,
Gang Chen
A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment.
CEC
(2022)
Tao Shi
,
Sven Hartmann
,
Gang Chen
,
Hui Ma
Location-Aware Cloud Service Brokering in Multi-cloud Environment.
ICSOC Workshops
(2022)
Yuheng Chen
,
Tao Shi
,
Hui Ma
,
Gang Chen
Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud.
SCC
(2022)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Harith Al-Sahaf
,
Mengjie Zhang
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
CEC
(2022)
Yifan Yang
,
Gang Chen
,
Hui Ma
,
Mengjie Zhang
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud.
ICSOC
(2022)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions.
IEEE Trans. Serv. Comput.
15 (5) (2022)
Dazzle Johnson
,
Gang Chen
,
Yuqian Lu
Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell.
IEEE Robotics Autom. Lett.
7 (3) (2022)
Atiya Masood
,
Gang Chen
,
Mengjie Zhang
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming.
CEC
(2021)
Tao Shi
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning.
ICSOC
(2021)
Ramya Anasseriyil Viswambaran
,
Gang Chen
,
Bing Xue
,
Mohammad Nekooei
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles.
CEC
(2021)
Yongbo Yu
,
Hui Ma
,
Gang Chen
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
CEC
(2021)
Victoria Huang
,
Gang Chen
,
Qiang Fu
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking.
CoRR
(2021)
Yifan Yang
,
Gang Chen
,
Hui Ma
,
Mengjie Zhang
,
Victoria Huang
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources.
CEC
(2021)
Tao Shi
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment.
IEEE Trans. Parallel Distributed Syst.
31 (8) (2020)
Tao Shi
,
Hui Ma
,
Gang Chen
Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment.
SCC
(2020)
Gang Chen
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation.
AAMAS
(2020)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Harith Al-Sahaf
,
Mengjie Zhang
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
CEC
(2020)
Tao Shi
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment.
ICWS
(2020)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment.
SCC
(2020)
Tao Shi
,
Hui Ma
,
Gang Chen
Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment.
GECCO Companion
(2020)
Kirita-Rose Escott
,
Hui Ma
,
Gang Chen
Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud.
DEXA (2)
(2020)
Seyed Mohammad Nekooei
,
Gang Chen
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
4 (3) (2020)
Kirita-Rose Escott
,
Hui Ma
,
Gang Chen
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud.
SSCI
(2020)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition.
SSCI
(2020)
Ramya Anasseriyil Viswambaran
,
Gang Chen
,
Bing Xue
,
Mohammad Nekooei
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm.
CEC
(2020)
Victoria Huang
,
Gang Chen
,
Peng Zhang
,
Hao Li
,
Chengchen Hu
,
Tian Pan
,
Qiang Fu
A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency.
IEEE Trans. Netw. Serv. Manag.
17 (2) (2020)
Ramya Anasseriyil Viswambaran
,
Gang Chen
,
Bing Xue
,
Mohammad Nekooei
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble.
SSCI
(2020)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method.
GECCO Companion
(2020)
Yiming Peng
,
Gang Chen
,
Mengjie Zhang
Effective Linear Policy Gradient Search through Primal-Dual Approximation.
IJCNN
(2020)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition.
WISE (1)
(2020)
Victoria Huang
,
Gang Chen
,
Qiang Fu
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning.
CoRR
(2019)
Victoria Huang
,
Gang Chen
,
Qiang Fu
Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning.
ICC
(2019)
Deepak Karunakaran
,
Yi Mei
,
Gang Chen
,
Mengjie Zhang
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming.
CEC
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition.
GECCO (Companion)
(2019)
Gang Chen
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation.
CoRR
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Evolutionary Multitasking for Semantic Web Service Composition.
CEC
(2019)
Gang Chen
,
Yiming Peng
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning.
CoRR
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm.
Australasian Conference on Artificial Intelligence
(2019)
Ramya Anasseriyil Viswambaran
,
Gang Chen
,
Bing Xue
,
Mohammad Nekooei
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition.
CEC
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition.
CoRR
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition.
DEXA (2)
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Evolutionary Multitasking for Semantic Web Service Composition.
CoRR
(2019)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition.
GECCO (Companion)
(2019)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm.
DEXA (2)
(2019)
Tao Shi
,
Hui Ma
,
Gang Chen
A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment.
CEC
(2019)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm.
CEC
(2019)
Victoria Huang
,
Gang Chen
,
Qiang Fu
,
Elliott Wen
Optimizing Controller Placement for Software-Defined Networks.
CoRR
(2019)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm.
CoRR
(2019)
Tao Shi
,
Hui Ma
,
Gang Chen
A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment.
SCC
(2019)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Harith Al-Sahaf
,
Mengjie Zhang
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
Australasian Conference on Artificial Intelligence
(2019)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition.
CoRR
(2019)
Chen Wang
,
Hui Ma
,
Gang Chen
,
Sven Hartmann
Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm.
Australasian Conference on Artificial Intelligence
(2018)
Chen Wang
,
Hui Ma
,
Gang Chen
EDA-based approach to comprehensive quality-aware automated semantic web service composition.
GECCO (Companion)
(2018)
John Park
,
Yi Mei
,
Su Nguyen
,
Gang Chen
,
Mengjie Zhang
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Australasian Conference on Artificial Intelligence
(2018)
Tao Shi
,
Hui Ma
,
Gang Chen
Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers.
CEC
(2018)
Gang Chen
,
Yiming Peng
,
Mengjie Zhang
An Adaptive Clipping Approach for Proximal Policy Optimization.
CoRR
(2018)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Mengjie Zhang
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Australasian Conference on Artificial Intelligence
(2018)
Tao Shi
,
Hui Ma
,
Gang Chen
Multi-objective Container Consolidation in Cloud Data Centers.
Australasian Conference on Artificial Intelligence
(2018)
Gang Chen
,
Yiming Peng
,
Mengjie Zhang
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR
(2018)
John Park
,
Yi Mei
,
Su Nguyen
,
Gang Chen
,
Mengjie Zhang
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
EuroGP
(2018)
Deepak Karunakaran
,
Yi Mei
,
Gang Chen
,
Mengjie Zhang
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
PPSN (2)
(2018)
John Park
,
Yi Mei
,
Su Nguyen
,
Gang Chen
,
Mengjie Zhang
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput.
63 (2018)
Yiming Peng
,
Gang Chen
,
Harman Singh
,
Mengjie Zhang
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
GECCO
(2018)
Soheila Sadeghiram
,
Hui Ma
,
Gang Chen
Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition.
CEC
(2018)
Atiya Masood
,
Gang Chen
,
Yi Mei
,
Mengjie Zhang
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
EvoCOP
(2018)
Gang Chen
,
Yiming Peng
,
Mengjie Zhang
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning.
IJCNN
(2018)
Josiah Jacobsen-Grocott
,
Yi Mei
,
Gang Chen
,
Mengjie Zhang
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
CEC
(2017)
Deepak Karunakaran
,
Yi Mei
,
Gang Chen
,
Mengjie Zhang
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty.
GECCO
(2017)
Yiming Peng
,
Gang Chen
,
Scott Holdaway
,
Yi Mei
,
Mengjie Zhang
Automated state feature learning for actor-critic reinforcement learning through NEAT.
GECCO (Companion)
(2017)
Seyed Mohammad Nekooei
,
Gang Chen
,
Ramesh Kumar Rayudu
Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks.
SEAL
(2017)
John Park
,
Yi Mei
,
Su Nguyen
,
Gang Chen
,
Mengjie Zhang
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
ACALCI
(2017)
Yiming Peng
,
Gang Chen
,
Mengjie Zhang
,
Shaoning Pang
A sandpile model for reliable actor-critic reinforcement learning.
IJCNN
(2017)
Atiya Masood
,
Yi Mei
,
Gang Chen
,
Mengjie Zhang
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
ACALCI
(2017)