Publications

Yahui Jia, Yi Mei, Mengjie Zhang (2022). Confidence-based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem with Comparison of Different Encoding Schemes. IEEE Transactions on Evolutionary Computation.

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Yuan Tian, Tifan Xiong, Zhenyuan Liu, Yi Mei, Wan Li (2021). Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem with skill switches: Model and Evolutionary Approaches. Computers & Industrial Engineering.

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Xin Yao, Ke Tang, Yi Mei, Jialin Liu, Changwu Huang, Hao Tong (2021). Capacitated Arc Routing Problems in Smart City. Artificial Intelligence (in Chinese).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2021). Genetic Programming with Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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Yi He, Xiao-Hui Liu, Hong-Liang Zhang, Wei Zheng, Fu-Yun Zhao, Marc Aurel Schnabel, Yi Mei (2021). Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning. Sustainable Cities and Society.

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Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang (2021). Genetic Programming for Production Scheduling: An Evolutionary Learning Approach. Springer.

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Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li, Michael Narag (2021). Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques. Artificial Intelligence in Medicine.

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Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan (2021). Surrogate-Assisted Evolutionary Multitasking Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation.

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Joao Costa, Yi Mei, Mengjie Zhang (2021). Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Zhixing Huang, Yi Mei, Mengjie Zhang (2021). Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Taiwo Akindele, Boxiong Tan, Yi Mei, Hui Ma (2021). Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI).

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Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao (2021). Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Fergus Currie, Yi Mei, Mengjie Zhang, Linley Jesson, Maren Wellenreuther (2021). An Investigation on Multi-Objective Fish Breeding Program Design. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Shaolin Wang, Yi Mei, Mengjie Zhang (2021). An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Yahui Jia, Yi Mei, Mengjie Zhang (2021). A Two-Stage Swarm Optimizer with Local Search for Water Distribution Network Optimization. IEEE Transactions on Cybernetics.

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2021). Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Jordan MacLachlan, Yi Mei (2021). Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Joao Costa, Yi Mei, Mengjie Zhang (2021). Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao (2021). Genetic Programming with Niching for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang (2021). Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Panda Sai, Yi Mei (2021). Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Joao Costa, Yi Mei, Mengjie Zhang (2021). An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Shaolin Wang, Yi Mei, Mengjie Zhang (2021). A Two-Stage Multi-Objective Genetic Programming with Archive for Uncertain Capacitated Arc Routing Problem. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2021). A Novel Multi-Task Genetic Programming Approach to Uncertain Capacitated Arc Routing Problem. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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Shaolin Wang, Yi Mei, Mengjie Zhang (2021). A Multi-Objective Genetic Programming Approach with Self-Adaptive Alpha Dominance to Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Guanqiang Gao, Yi Mei, Bin Xin, Yahui Jia, Will Browne (2021). Automated Coordination Strategy Design using Genetic Programming for Dynamic Multi-Point Dynamic Aggregation. IEEE Transactions on Cybernetics.

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Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang (2021). Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling. Evolutionary Computation.

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Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang (2021). Evolving Scheduling Heuristics via Genetic Programming with Feature Selection in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Cybernetics.

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Yuzhou Zhang, Yi Mei, Buzhong Zhang, Keqin Jiang (2021). Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition. Information Sciences.

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Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang (2021). Multitask Genetic Programming Based Generative Hyper-heuristics: A Case Study in Dynamic Scheduling. IEEE Transactions on Cybernetics.

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Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang (2021). Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem. IEEE Transactions on Services Computing.

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Yahui Jia, Yi Mei, Mengjie Zhang (2021). A Bi-level Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Transactions on Cybernetics.

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Yi Mei, Mazhar Ansari Ardeh, Mengjie Zhang (2021). Knowledge Transfer in Genetic Programming Hyper-heuristics. Automated Design of Machine Learning and Search Algorithms.

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Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang (2021). Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation.

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Lin Li, Wei Fang, Yi Mei, Quan Wang (2021). Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Computing.

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Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang (2021). Collaborative Multi-fidelity based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Cybernetics.

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Shaolin Wang, Yi Mei, Mengjie Zhang (2020). Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2020). Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacited Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Joao Costa, Yi Mei, Mengjie Zhang (2020). Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Guanqiang Gao, Yi Mei, Yahui Jia, Will Browne, Bin Xin (2020). Adaptive Coordination Ant Colony Optimisation for Multi-Point Dynamic Aggregation. IEEE Transactions on Cybernetics.

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Yuzhou Zhang, Yi Mei, Shihua Huang, Xin Zheng, Cuijuan Zhang (2020). A Route Clustering and Search Heuristic for Large Scale Multi-Depot Capacitated Arc Routing Problem. IEEE Transactions on Cybernetics.

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2020). A Parametric Pipeline Framework for Genetic Programming Transfer Learning in the Uncertain Capacitated Arc Routing Problem. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2020). A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang (2020). Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evolutionary Computation.

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Yahui Jia, Yi Mei, Mengjie Zhang (2020). Contribution-based Cooperative Co-evolution for Non-separable Large-scale Problems with Overlapping Subcomponents. IEEE Transactions on Cybernetics.

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Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang (2020). A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for On-line Resource Allocation in Container-based Clouds. IEEE Transactions on Cloud Computing.

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2020). Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. Proceedings of the ACM Genetic and Evolutionary Computation Conference Companion.

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Boxiong Tan, Hui Ma, Yi Mei (2020). An NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds. Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

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Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang (2020). A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. IEEE Transactions on Emerging Topics in Computational Intelligence.

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Ya-Hui Jia, Yi Mei, Mengjie Zhang (2020). A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization. Proceedings of the ACM Genetic and Evolutionary Computation Conference.

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2020). Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming.

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2020). Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation.

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Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang (2020). A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for Uncertain Capacitated Arc Routing Problem. Evolutionary Computation.

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Boxiong Tan, Hui Ma, Yi Mei (2020). A Group Genetic Algorithm for Resource Allocation in Container-based Clouds. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation.

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2020). Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. Proceedings of the IEEE World Congress on Computational Intelligence.

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Jericho Jackson, Yi Mei, Mengjie Zhang (2020). Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. Proceedings of the IEEE World Congress on Computational Intelligence.

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Joao Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang (2020). Cluster-based Hyper-Heuristic for the Large-Scale Vehicle Routing Problem. Proceedings of the IEEE World Congress on Computational Intelligence.

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Shaolin Wang, Yi Mei, Mengjie Zhang (2020). A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. Proceedings of the IEEE World Congress on Computational Intelligence.

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Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will Browne (2020). A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. Proceedings of the IEEE World Congress on Computational Intelligence.

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Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang (2020). A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. Proceedings of the IEEE World Congress on Computational Intelligence.

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Yi He, Marc Aurel Schnabel, Yi Mei (2020). A Novel Methodology for Architectural Wind Environment Study by Integrating CFD Simulation, Multiple Parametric Tools and Evaluation Criteria. Building Simulation.

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Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, Wentong Cai (2020). A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Computing.

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Deepak Karunakaran, Yi Mei, Mengjie Zhang (2019). Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang (2019). Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Shaolin Wang, Yi Mei, John Park, Mengjie Zhang (2019). Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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Shaolin Wang, Yi Mei, John Park, Mengjie Zhang (2019). A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li (2019). Stratifying risk of coronary artery disease using discriminative knowledge-guided medical concept pairings from clinical notes. Proceedings of Pacific-Rim International Conference on Artificial Intelligence (PRICAI).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2019). A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing. Proceedings of Pacific-Rim International Conference on Artificial Intelligence (PRICAI).

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Boxiong Tan, Hui Ma, Yi Mei (2019). Novel Genetic Algorithm with Dual Chromosome Representation for Resource Allocation in Container-based Clouds. Proceedings of the IEEE CLOUD.

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Shaolin Wang, Yi Mei, Mengjie Zhang (2019). Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2019). Genetic Programming Hyper-Heuristic with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2019). A Two-Stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang (2019). Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2019). Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2019). Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li (2019). An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang (2019). Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Boxiong Tan, Hui Ma, Yi Mei (2019). A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2019). A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, Mengjie Zhang (2019). A Survey on Evolutionary Machine Learning. Journal of the Royal Society of New Zealand.

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Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang (2019). A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evolutionary Computation.

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Yi Mei, Mengjie Zhang (2018). Genetic Programming Hyper-Heuristic for Multi-Vehicle Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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Daniel Yska, Yi Mei, Mengjie Zhang (2018). Feature Construction in Genetic Programming Hyper-Heuristic for Dynamic Flexible Job Shop Scheduling. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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Yi Mei, Mengjie Zhang (2018). Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang (2018). Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang (2018). Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming (EuroGP).

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Daniel Yska, Yi Mei, Mengjie Zhang (2018). Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming (EuroGP).

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Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang (2018). A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition. Proceedings of the IEEE International Conference on Web Services (ICWS).

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Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li (2018). Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2018). Surrogate-assisted genetic programming for dynamic flexible job shop scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang (2018). Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN).

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Fangfang Zhang, Yi Mei, Mengjie Zhang (2018). Genetic programming with multi-tree representation for dynamic flexible job shop scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang (2018). Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang (2018). Evolutionary computation for automatic Web service composition: an indirect representation approach. Journal of Heuristics.

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John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang (2018). An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Applied Soft Computing.

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Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang (2018). An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang (2018). Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Boxiong Tan, Hui Ma, Yi Mei (2018). A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, Andy Song (2018). A bi-level optimization model for grouping constrained storage location assignment problems. IEEE Transactions on Cybernetics.

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Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang (2017). Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Yuzhou Zhang, Yi Mei, Ke Tang, Keqin Jiang (2017). Memetic algorithm with route decomposing for periodic capacitated arc routing problem. Applied Soft Computing.

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John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang (2017). Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown. Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI).

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Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang (2017). Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression. Proceedings of the European Conference on Genetic Programming (EuroGP).

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Su Nguyen, Yi Mei, Mengjie Zhang (2017). Genetic programming for production scheduling: a survey with a unified framework. Complex and Intelligent Systems.

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Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang (2017). Fragment-based genetic programming for fully automated multi-objective web service composition. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang (2017). Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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Yi Mei, Su Nguyen, Mengjie Zhang (2017). Evolving time-invariant dispatching rules in job shop scheduling with genetic programming. Proceedings of the European Conference on Genetic Programming (EuroGP).

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Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang (2017). Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang (2017). Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei (2017). Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang (2017). Dynamic job shop scheduling under uncertainty using genetic programming. Proceedings of Intelligent and Evolutionary Systems (IES).

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Mohammad Nabi Omidvar, Ming Yang, Yi Mei, Xiaodong Li, Xin Yao (2017). DG2: A faster and more accurate differential grouping for large-scale black-box optimization. IEEE Transactions on Evolutionary Computation.

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Yi Mei, Su Nguyen, Mengjie Zhang (2017). Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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Mohammad Saiedur Rahaman, Yi Mei, Margaret Hamilton, Flora D Salim (2017). CAPRA: A contour-based accessible path routing algorithm. Information Sciences.

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Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang (2017). Automated state feature learning for actor-critic reinforcement learning through NEAT. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang (2017). Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang (2017). An efficient feature selection algorithm for evolving job shop scheduling rules with genetic programming. IEEE Transactions on Emerging Topics in Computational Intelligence.

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Md Jakirul Islam, Xiaodong Li, Yi Mei (2017). A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO. Applied Soft Computing.

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Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang (2017). A PSO-based reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling. Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI).

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Boxiong Tan, Hui Ma, Yi Mei (2017). A NSGA-II-based approach for service resource allocation in Cloud. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Boxiong Tan, Yi Mei, Hui Ma, Mengjie Zhang (2016). Particle swarm optimization for multi-objective web service location allocation. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang (2016). Particle swarm optimisation with sequence-like indirect representation for web service composition. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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Yi Mei, Xiaodong Li, Xin Yao (2016). On investigation of interdependence between sub-problems of the travelling thief problem. Soft Computing.

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John Park, Yi Mei, Gang Chen, Mengjie Zhang (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 (GECCO).

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Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang (2016). Many-objective genetic programming for job-shop scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Michael Riley, Yi Mei, Mengjie Zhang (2016). Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang (2016). Genetic programming based hyper-heuristics for dynamic job shop scheduling: cooperative coevolutionary approaches. Proceedings of the European Conference on Genetic Programming (EuroGP).

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Yi Mei, Mengjie Zhang, Su Nyugen (2016). Feature selection in evolving job shop dispatching rules with genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Yi Mei, Bing Xue, Mengjie Zhang (2016). Fast bi-objective feature selection using entropy measures and bayesian inference. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang (2016). Evolutionary web service composition: A graph-based memetic algorithm. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang (2016). Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Flora D Salim, Xiaodong Li (2016). Efficient meta-heuristics for the multi-objective time-dependent orienteering problem. European Journal of Operational Research.

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Pietro A Consoli, Yi Mei, Leandro L Minku, Xin Yao (2016). Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Computing.

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Jianhua Liu, Yi Mei, Xiaodong Li (2016). An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation.

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Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang (2016). A memetic algorithm-based indirect approach to web service composition. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Mengjie Zhang (2016). A comprehensive analysis on reusability of GP-evolved job shop dispatching rules. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao (2016). A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization. ACM Transactions on Mathematical Software.

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Yi Mei, Xiaodong Li, Flora Salim, Xin Yao (2015). Heuristic evolution with genetic programming for traveling thief problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Jing Xie, Yi Mei, Andy Song (2015). Evolving self-adaptive tabu search algorithm for storage location assignment problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, Andy Song (2015). A restricted neighbourhood tabu search for storage location assignment problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Xiaodong Li, Xin Yao (2014). Variable neighborhood decomposition for large scale capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, Andy Song (2014). Scaling up solutions to storage location assignment problems by genetic programming. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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Yi Mei, Xiaodong Li, Xin Yao (2014). Improving efficiency of heuristics for the large scale traveling thief problem. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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Mohammad Nabi Omidvar, Yi Mei, Xiaodong Li (2014). Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Xiaodong Li, Xin Yao (2014). Cooperative coevolution with route distance grouping for large-scale capacitated arc routing problems. IEEE Transactions on Evolutionary Computation.

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Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei, Xin Yao (2014). Cooperative co-evolution with differential grouping for large scale optimization. IEEE Transactions on Evolutionary Computation.

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Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, Andy Song (2014). A genetic programming-based hyper-heuristic approach for storage location assignment problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Ke Tang, Xin Yao (2013). Evolutionary computation for dynamic capacitated arc routing problem. Evolutionary Computation for Dynamic Optimization Problems.

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Yi Mei, Xiaodong Li, Xin Yao (2013). Decomposing large-scale capacitated arc routing problems using a random route grouping method. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Elaine Wah, Yi Mei, Benjamin W Wah (2011). Portfolio optimization through data conditioning and aggregation. Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI).

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Yi Mei, Ke Tang, Xin Yao (2011). Decomposition-based memetic algorithm for multiobjective capacitated arc routing problem. IEEE Transactions on Evolutionary Computation.

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Yi Mei, Ke Tang, Xin Yao (2011). A memetic algorithm for periodic capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu (2010). Memetic algorithm with heuristic candidate list strategy for capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Ke Tang, Xin Yao (2010). Capacitated arc routing problem in uncertain environments. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Ke Tang, Yi Mei, Xin Yao (2009). Memetic algorithm with extended neighborhood search for capacitated arc routing problems. IEEE Transactions on Evolutionary Computation.

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Yi Mei, Ke Tang, Xin Yao (2009). Improved memetic algorithm for capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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Yi Mei, Ke Tang, Xin Yao (2009). A global repair operator for capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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