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Gang Chen 0002
Aaron Chen 0001
Person information

- affiliation: Victoria University of Wellington, Unitec Institute of Technology, Auckland, New Zealand
- affiliation: Nanyang Technological University, Singapore
Other persons with the same name
- Gang Chen — disambiguation page
- Gang Chen 0001
— Zhejiang University, Database Laboratory, China
- Gang Chen 0003 — Tsinghua University, Department of Automation, Beijing, China
- Gang Chen 0004 — Lingcore Lab (and 1 more)
- Gang Chen 0005 — Nanjing University, Department of Geographic Information Science, China
- Gang Chen 0006 — Ningbo University, Institute of DSP and Software Techniques, China
- Gang Chen 0007 — University of California Riverside, Department of Electrical Engineering, CA, USA (and 1 more)
- Gang Chen 0008
— National Institute of Mental Health, Bethesda, MD, USA
- Gang Chen 0009 — University of California Los Angeles, Speech Processing and Auditory Perception Laboratory, CA, USA
- Gang Chen 0010 — Central South University, Changsha, China
- Gang Chen 0011 — Huawei, Santa Clara, CA, USA (and 2 more)
- Gang Chen 0012 — Fudan University, China
- Gang Chen 0013 — Unilever R&D, Port Sunlight, UK
- Gang Chen 0014
— Chongqing University, College of Automation, MOE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China (and 1 more)
- Gang Chen 0015
— The University of North Carolina at Charlotte, Department of Geography and Earth Sciences, NC, USA (and 2 more)
- Gang Chen 0016 — Chinese Academie of Sciences, National Space Science Center, China
- Gang Chen 0017 — Zhejiang University, State Key Laboratory of Industrial Control Technology, China
- Gang Chen 0018 — Huazhong University of Science and Technology, School of Computer Science and Technology, China
- Gang Chen 0019
— MIT, Mechanical Engineering Department, Cambridge, MA, USA
- Gang Chen 0020 (aka: Michael Gang Chen) — University of California Los Angeles, Magma Design Automation, CA, USA
- Gang Chen 0021 (aka: Gang (Jeff) Chen) — Medical College of Wisconsin, Department of Biophysics, Milwaukee, WI, USA
- Gang Chen 0022 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- Gang Chen 0023
— Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 2 more)
- Gang Chen 0024
— Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Gang Chen 0025
— Sichuan University, School of Mathematics, Chengdu, China
- Gang Chen 0026
— Wuhan University, School of Electronics and Information, China (and 1 more)
- Gang Chen 0027 — University of California Riverside, Department of Electrical Engineering, CA, USA
- Gang Chen 0028
— Tianjin University, School of Chemical Engineering and Technology, China
- Gang Chen 0029
— Beijing University of Posts and Telecommunications, School of Automation, China
- Gang Chen 0030 — Heriot-Watt University, Edinburgh, UK
- Gang Chen 0031
— Fuzhou University, School of Mechanical Engineering and Automation, China
- Gang Chen 0032 — SUNY at Buffalo, Department of Computer Science, NY, USA
- Gang Chen 0033
— Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Gang Chen 0034
— Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Gang Chen 0035
— State Grid Sichuan Electric Power Research Institute, Chengdu, China (and 1 more)
- Gang Chen 0036
— Shanghai Jiaotong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Gang Chen 0037
— Zhengzhou University, Computer and artificial intelligence school, China
- Aaron Chen — disambiguation page
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2020 – today
- 2022
- [j23]Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu:
Deep Reinforcement Learning based dynamic optimization of bus timetable. Appl. Soft Comput. 131: 109752 (2022) - [j22]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): 7684-7691 (2022) - [j21]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): 570-584 (2022) - [j20]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): 77-92 (2022) - [j19]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): 1982-1995 (2022) - [j18]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): 2939-2953 (2022) - [c99]Yuheng Chen, Tao Shi, Hui Ma, Gang Chen:
Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud. SCC 2022: 206-214 - [c98]Josh Trueman, Hui Ma, Aaron Chen, Sven Hartmann:
Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach. ADC 2022: 21-33 - [c97]Anjali de Silva
, Aaron Chen
, Hui Ma
, Mohammad Nekooei
:
Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection. AI 2022: 252-265 - [c96]Kirita-Rose Escott
, Hui Ma
, Gang Chen:
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. AI 2022: 440-451 - [c95]Benjamin Curran, Seyed Mohammad Nekooei
, Gang Chen:
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach. AI 2022: 632-644 - [c94]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: 661-674 - [c93]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: 1-8 - [c92]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: 1-8 - [c91]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang:
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. ICSOC 2022: 433-448 - [c90]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: 449-464 - [i14]Gang Chen, Victoria Huang:
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR abs/2209.14488 (2022) - 2021
- [c89]Atiya Masood, Gang Chen, Mengjie Zhang:
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. CEC 2021: 644-651 - [c88]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. CEC 2021: 942-949 - [c87]Yongbo Yu, Hui Ma, Gang Chen:
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. CEC 2021: 1880-1887 - [c86]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: 2141-2148 - [c85]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning. ICSOC 2021: 756-764 - [i13]Victoria Huang, Gang Chen, Qiang Fu:
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR abs/2103.03022 (2021) - [i12]Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu:
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable. CoRR abs/2107.07066 (2021) - 2020
- [j17]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): 336-350 (2020) - [j16]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): 682-695 (2020) - [j15]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): 1954-1969 (2020) - [c84]Tao Shi, Hui Ma, Gang Chen:
Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment. SCC 2020: 240-247 - [c83]Soheila Sadeghiram, Hui Ma, Gang Chen:
A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment. SCC 2020: 248-255 - [c82]Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. AAMAS 2020: 1801-1803 - [c81]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: 1-8 - [c80]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. CEC 2020: 1-8 - [c79]Kirita-Rose Escott
, Hui Ma
, Gang Chen:
Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. DEXA (2) 2020: 76-90 - [c78]Soheila Sadeghiram, Hui Ma, Gang Chen:
QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method. GECCO Companion 2020: 105-106 - [c77]Tao Shi, Hui Ma, Gang Chen:
Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment. GECCO Companion 2020: 317-318 - [c76]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment. ICWS 2020: 110-117 - [c75]Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN 2020: 1-8 - [c74]Soheila Sadeghiram, Hui Ma, Gang Chen:
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition. SSCI 2020: 791-797 - [c73]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. SSCI 2020: 2692-2698 - [c72]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: 3141-3148 - [c71]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: 489-502
2010 – 2019
- 2019
- [c70]Tao Shi
, Hui Ma, Gang Chen:
A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment. SCC 2019: 146-153 - [c69]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: 445-459 - [c68]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: 536-548 - [c67]Mohammed Al-Shaboti, Ian Welch, Aaron Chen:
IoT Application-Centric Access Control (ACAC). AsiaCCS 2019: 685-687 - [c66]Deepak Karunakaran, Yi Mei
, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC 2019: 434-441 - [c65]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
:
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. CEC 2019: 554-561 - [c64]Chen Wang
, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. CEC 2019: 2490-2497 - [c63]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CEC 2019: 2832-2839 - [c62]Yongbo Yu, Yalian Feng, Hui Ma, Aaron Chen, Chen Wang
:
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. CEC 2019: 3102-3109 - [c61]Tao Shi
, Hui Ma, Gang Chen:
A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment. CEC 2019: 3364-3371 - [c60]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm. DEXA (2) 2019: 411-422 - [c59]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: 434-451 - [c58]Soheila Sadeghiram, Hui Ma, Gang Chen:
A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. GECCO (Companion) 2019: 155-156 - [c57]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: 421-422 - [c56]Victoria Huang, Gang Chen, Qiang Fu
:
Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC 2019: 1-7 - [c55]Mohammed Al-Shaboti, Aaron Chen, Ian Welch:
Automatic Device Selection and Access Policy Generation Based on User Preference for IoT Activity Workflow. TrustCom/BigDataSE 2019: 769-774 - [i11]Soheila Sadeghiram, Hui Ma, Gang Chen:
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition. CoRR abs/1901.05564 (2019) - [i10]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CoRR abs/1901.09894 (2019) - [i9]Gang Chen, Yiming Peng:
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR abs/1902.05551 (2019) - [i8]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. CoRR abs/1902.06370 (2019) - [i7]Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen:
Optimizing Controller Placement for Software-Defined Networks. CoRR abs/1902.09451 (2019) - [i6]Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR abs/1904.06039 (2019) - [i5]Mohammed Al-Shaboti, Aaron Chen, Ian Welch:
Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow. CoRR abs/1904.06495 (2019) - [i4]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition. CoRR abs/1906.07900 (2019) - [i3]Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. CoRR abs/1910.09152 (2019) - 2018
- [j14]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: 72-86 (2018) - [c54]Mohammed Al-Shaboti, Ian Welch
, Aaron Chen, Muhammad Adeel Mahmood:
Towards Secure Smart Home IoT: Manufacturer and User Network Access Control Framework. AINA 2018: 892-899 - [c53]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: 358-370 - [c52]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: 458-471 - [c51]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: 739-751 - [c50]Tao Shi, Hui Ma, Gang Chen:
Multi-objective Container Consolidation in Cloud Data Centers. Australasian Conference on Artificial Intelligence 2018: 783-795 - [c49]Soheila Sadeghiram, Hui Ma, Gang Chen:
Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition. CEC 2018: 1-7 - [c48]Tao Shi, Hui Ma, Gang Chen:
Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers. CEC 2018: 1-8 - [c47]John Park, Yi Mei
, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP 2018: 253-270 - [c46]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: 116-131 - [c45]Chen Wang
, Hui Ma, Gang Chen:
EDA-based approach to comprehensive quality-aware automated semantic web service composition. GECCO (Companion) 2018: 147-148 - [c44]Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang:
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO 2018: 490-497 - [c43]Abigail Koay
, Aaron Chen, Ian Welch, Winston K. G. Seah
:
A new multi classifier system using entropy-based features in DDoS attack detection. ICOIN 2018: 162-167 - [c42]Gang Chen, Yiming Peng, Mengjie Zhang:
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN 2018: 1-8 - [c41]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: 347-359 - [c40]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
Knowledge-Driven Automated Web Service Composition - An EDA-Based Approach. WISE (2) 2018: 135-150 - [i2]Gang Chen, Yiming Peng, Mengjie Zhang:
An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR abs/1804.06461 (2018) - [i1]Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR abs/1809.00403 (2018) - 2017
- [j13]Seyed Mohammad Nekooei
, Gang Chen, Ramesh Kumar Rayudu
:
Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach. Appl. Soft Comput. 56: 245-261 (2017) - [c39]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: 301-313 - [c38]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: 326-338 - [c37]Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei
, Mengjie Zhang:
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence 2017: 39-51 - [c36]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
Comprehensive Quality-Aware Automated Semantic Web Service Composition. Australasian Conference on Artificial Intelligence 2017: 195-207 - [c35]Deepak Karunakaran
, Yi Mei
, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. CEC 2017: 364-371 - [c34]Josiah Jacobsen-Grocott, Yi Mei
, Gang Chen, Mengjie Zhang:
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. CEC 2017: 1948-1955 - [c33]Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei
, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) 2017: 135-136 - [c32]Deepak Karunakaran, Yi Mei
, Gang Chen, Mengjie Zhang:
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. GECCO 2017: 282-289 - [c31]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
A sandpile model for reliable actor-critic reinforcement learning. IJCNN 2017: 4014-4021 - [c30]Victoria Huang, Qiang Fu
, Gang Chen, Elliott Wen, Jonathan Hart:
BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN 2017: 146-154 - [c29]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition. SEAL 2017: 170-183 - [c28]Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei
:
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL 2017: 473-485 - [c27]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: 870-882 - 2016
- [j12]Bing Xue, Gang Chen:
Guest editorial: special issue on evolutionary optimization, feature reduction and learning. Soft Comput. 20(10): 3771-3773 (2016) - [j11]Gang Chen
, Colin I. J. Douch, Mengjie Zhang:
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. 20(6): 953-971 (2016) - [c26]Deepak Karunakaran
, Gang Chen, Mengjie Zhang:
Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. ACALCI 2016: 234-245 - [c25]Atiya Masood, Yi Mei
, Gang Chen, Mengjie Zhang:
Many-objective genetic programming for job-shop scheduling. CEC 2016: 209-216 - [c24]Seyed Mohammad Nekooei
, Gang Chen, Ramesh Kumar Rayudu
:
Evolutionary design of fuzzy logic controllers for medium access control in WBAN. CEC 2016: 2821-2828 - [c23]Su Nguyen, Yi Mei
, Hui Ma, Aaron Chen, Mengjie Zhang:
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. CEC 2016: 3053-3060 - [c22]Xiu Cheng, Gang Chen, Mengjie Zhang:
An XCS-based algorithm for multi-objective reinforcement learning. CEC 2016: 4007-4014 - [c21]John Park, Yi Mei
, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang:
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP 2016: 115-132 - [c20]John Park, Yi Mei
, Gang Chen, Mengjie Zhang:
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. GECCO (Companion) 2016: 109-110 - [c19]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) 2016: 615-622 - [c18]Deepak Karunakaran
, Yi Mei
, Gang Chen, Mengjie Zhang:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 195-210 - 2015
- [j10]Gang Chen, Colin I. J. Douch, Mengjie Zhang:
Using Learning Classifier Systems to Learn Stochastic Decision Policies. IEEE Trans. Evol. Comput. 19(6): 885-902 (2015) - [c17]Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang:
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. ICONIP (2) 2015: 320-328 - [c16]Seyed Mohammad Nekooei
, Gang Chen, Ramesh Kumar Rayudu
:
A fuzzy logic based cross-layer mechanism for medium access control in WBAN. PIMRC 2015: 1094-1099 - 2014
- [c15]Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch:
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. ICONIP (3) 2014: 300-307 - [c14]Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang:
Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. ICONIP (3) 2014: 308-316 - 2013
- [j9]Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Dynamic class imbalance learning for incremental LPSVM. Neural Networks 44: 87-100 (2013) - [j8]Gang Chen, Abdolhossein Sarrafzadeh, Shaoning Pang:
Service Provision Control in Federated Service Providing Systems. IEEE Trans. Parallel Distributed Syst. 24(3): 587-600 (2013) - [c13]