[1] Xiaocheng Liao, Yi Mei, and Mengjie Zhang. Gplight+: A genetic programming method for learning symmetric traffic signal control policy. IEEE Transactions on Evolutionary Computation, jun 2025. [ bib | DOI ]
[2] Yang Wang, Ya-Hui Jia, Wei-Neng Chen, and Yi Mei. Soft parameter sharing model for cross-problem generalization in vehicle routing problems. IEEE Transactions on Artificial Intelligence, jun 2025. [ bib | DOI ]
[3] Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, and Mengjie Zhang. Pareto set learning through genetic programming for multi-objective dynamic scheduling. IEEE Transactions on Evolutionary Computation, may 2025. [ bib | DOI ]
[4] Binzi Xu, Xinyu Cao, Shuwen Zhang, Jiangping Shen, Chaohua Wang, Songhua Wang, Dengchao Huang, Chun Wang, Yi Mei, and Yan Wang. Terminal normalization in genetic programming for dynamic flexible job shop scheduling. Swarm and Evolutionary Computation, 96:101970, 2025. [ bib | DOI ]
[5] Shihao Dai, Ya-Hui Jia, Wei-Neng Chen, Yi Mei, and Qiang Yang. Multi-stage particle swarm optimization for heterogeneous multi-point dynamic aggregation. IEEE Transactions on Systems, Man and Cybernetics: Systems, mar 2025. [ bib | DOI ]
[6] Tong Guo, Yi Mei, Mengjie Zhang, Haoran Zhao, Kaiquan Cai, and Wenbo Du. Learning-aided neighborhood search for vehicle routing problems. IEEE Transactions on Pattern Analysis and Machine Intelligence, mar 2025. [ bib | DOI ]
[7] Xingsi Xue, Yi Mei, Baozhong Zhao, and Mengjie Zhang. Adaptive similarity feature construction for ontology matching via multi-layer hybrid genetic programming. IEEE Transactions on Evolutionary Computation, mar 2025. [ bib | DOI ]
[8] Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, and Xin Yao. Adaptive operator selection for meta-heuristics: A survey. IEEE Transactions on Artificial Intelligence, feb 2025. [ bib | DOI ]
[9] Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, and Wolfgang Banzhaf. Cross-representation genetic programming: A case study on tree-based and linear representations. Evolutionary Computation, jan 2025. [ bib | DOI ]
[10] Fangfang Zhang, Mazhar Ansari Ardeh, Yi Mei, and Mengjie Zhang. Genetic programming with tabu list for dynamic flexible job shop scheduling. Evolutionary Computation, jan 2025. [ bib | DOI ]
[11] Tong Guo, Yi Mei, Wenbo Du, Yisheng Lv, Yumeng Li, and Tao Song. Emergency scheduling of aerial vehicles via graph neural neighborhood search. IEEE Transactions on Artificial Intelligence, jan 2025. [ bib | DOI ]
[12] Bocheng Lin, Yi Mei, and Mengjie Zhang. Automated design of state transition rules in ant colony optimization by genetic programming: A comprehensive investigation. Memetic Computing, 17(2), jan 2025. [ bib | DOI ]
[13] Rui Qi, Ya-Hui Jia, Wei-Neng Chen, Ying Bi, and Yi Mei. An evolutionary optimization-learning hybrid algorithm for energy resource management. Swarm and Evolutionary Computation, 92:101831, 2025. [ bib | DOI ]
[14] Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, and Wolfgang Banzhaf. Fitness landscape optimization makes stochastic symbolic search by genetic programming easier. IEEE Transactions on Evolutionary Computation, jan 2025. [ bib | DOI ]
[15] Xiao-Cheng Liao, Xiao-Min Hu, Xiang-Ling Chen, Yi Mei, Ya-Hui Jia, and Wei-Neng Chen. Learning to communicate among agents for large-scale dynamic path planning with genetic programming hyper-heuristic. IEEE Transactions on Artificial Intelligence, 6(5):1269--1283, 2025. [ bib | DOI ]
[16] Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, and Yaochu Jin. Surrogate-assisted neighborhood search with only a few weight vectors for expensive large-scale multiobjective binary optimization. IEEE Transactions on Evolutionary Computation, dec 2024. [ bib | DOI ]
[17] Tong Guo, Yi Mei, Mengjie Zhang, Ruofei Sun, Yanbo Zhu, and Wenbo Du. Genetic programming with multi-fidelity surrogates for large-scale dynamic air traffic flow management. IEEE Transactions on Evolutionary Computation, dec 2024. [ bib | DOI ]
[18] Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Learn to optimise for job shop scheduling: A survey with comparison between genetic programming and reinforcement learning. Artificial Intelligence Review, 58(160), 2025. [ bib | DOI ]
[19] Fangfang Zhang, Gaofeng Shi, Yi Mei, and Mengjie Zhang. Multi-objective dynamic flexible job shop scheduling with biased objectives via multitask genetic programming. IEEE Transactions on Artificial Intelligence, sep 2024. [ bib | DOI ]
[20] Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling. IEEE Transactions on Evolutionary Computation, apr 2024. [ bib | DOI ]
[21] Zaixing Sun, Yi Mei, Fangfang Zhang, Chonglin Gu, Hejiao Huang, and Mengjie Zhang. Multi-tree genetic programming hyper-heuristic for dynamic flexible workflow scheduling in multi-clouds. IEEE Transactions on Services Computing, 17(5):2687--2703, 2024. [ bib | DOI ]
[22] Ruonan Zhai, Yi Mei, Tong Guo, and Wenbo Du. A collaborative drone-truck delivery system with memetic computing optimization. IEEE Transactions on Systems, Man and Cybernetics: Systems, 54(6):3618--3630, 2024. [ bib | DOI ]
[23] Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Toward evolving dispatching rules with flow control operations by grammar-guided linear genetic programming. IEEE Transactions on Evolutionary Computation, 29(1):217--231, 2025. [ bib | DOI ]
[24] Mahdi Abdollahi, Xiaoying Gao, Shameek Ghosh, Jinyan Li, and Michael Narag. An ontology-based three-stage approach to medical text classification with feature selection by particle swarm optimisation. Procedia Computer Science, 246:2479--2488, 2024. [ bib | DOI ]
[25] Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, and Wolfgang Banzhaf. Bridging directed acyclic graphs to linear representations in linear genetic programming: A case study of dynamic scheduling. Genetic Programming and Evolvable Machines, 25(5), jan 2024. [ bib | DOI ]
[26] Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison. IEEE Computational Intelligence Magazine, 19(2):18--33, 2024. (CIS Newsletter Research Frontier) [ bib | DOI ]
[27] Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Genetic programming for dynamic flexible job shop scheduling: Evolution with single individuals and ensembles. IEEE Transactions on Evolutionary Computation, 28(6):1761--1775, 2024. [ bib | DOI ]
[28] Tong Guo, Yi Mei, Ke Tang, and Wenbo Du. Cooperative co-evolution for large-scale multi-objective air traffic flow management. IEEE Transactions on Evolutionary Computation, 28(6):1644--1658, 2024. [ bib | DOI ]
[29] Biyue Li, Tong Guo, Yi Mei, Yumeng Li, Jun Chen, Yu Zhang, Ke Tang, and Wenbo Du. A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm and Evolutionary Computation, 83:101400, 2023. [ bib | DOI ]
[30] Yuzhou Zhang, Yi Mei, Haiqi Zhang, Qinghua Cai, and Haifeng Wu. Rocash2: An effective route clustering and search heuristic for large scale multi-depot capacitated arc routing problem. IEEE Computational Intelligence Magazine, 18(4):43--56, 2023. (CIS Newsletter Research Frontier) [ bib | DOI ]
[31] Tong Guo, Yi Mei, Ke Tang, and Wenbo Du. A knee-guided evolutionary algorithm for multi-objective air traffic flow management. IEEE Transactions on Evolutionary Computation, 28(4):994--1008, 2024. [ bib | DOI ]
[32] Yahui Jia, Yi Mei, and Mengjie Zhang. Learning heuristics with different representations for stochastic routing. IEEE Transactions on Cybernetics, 53(5):3205--3219, 2023. [ bib | DOI ]
[33] Amirhossein Mostofi, Vipul Jain, Sameer Kumar, Yi Mei, and Charu Chandra. A game theory data analytics based mechanism for licensed pharmaceutical products concerning their deterioration: A case of a micro, small medium enterprise in iran. Annals of Operations Research, apr 2023. [ bib | DOI ]
[34] Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Multitask linear genetic programming with shared individuals and its application to dynamic job shop scheduling. IEEE Transactions on Evolutionary Computation, 28(6):1546--1560, 2024. [ bib | DOI ]
[35] Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling. IEEE Transactions on Evolutionary Computation, 28(1):147--167, 2024. [ bib | DOI ]
[36] Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, and Xin Yao. Knowledge transfer genetic programming with auxiliary population for solving uncertain capacitated arc routing problem. IEEE Transactions on Evolutionary Computation, 27(2):311--325, 2023. [ bib | DOI ]
[37] Yahui Jia, Yi Mei, and Mengjie Zhang. A two-stage swarm optimizer with local search for water distribution network optimization. IEEE Transactions on Cybernetics, 53(3):1667--1681, 2023. [ bib | DOI | Code ]
[38] Meng Xu, Yi Mei, Fangfang Zhang, and Mengjie Zhang. Genetic programming with lexicase selection for large-scale dynamic flexible job shop scheduling. IEEE Transactions on Evolutionary Computation, 28(5):1235--1249, 2024. [ bib | DOI ]
[39] Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, and Mengjie Zhang. Genetic programming for dynamic workflow scheduling in fog computing. IEEE Transactions on Services Computing, 16(4):2657--2671, 2023. [ bib | DOI ]
[40] Shaolin Wang, Yi Mei, and Mengjie Zhang. Explaining genetic programming-evolved routing policies for uncertain capacitated arc routing problems. IEEE Transactions on Evolutionary Computation, 28(4):918--932, 2024. [ bib | DOI ]
[41] Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, and Mengjie Zhang. Explainable artificial intelligence by genetic programming: A survey. IEEE Transactions on Evolutionary Computation, 27(3):621--641, 2023. [ bib | DOI ]
[42] Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, and Qingfu Zhang. Decomposition-based lin-kernighan heuristic with neighborhood structure transfer for multi/many-objective traveling salesman problem. IEEE Transactions on Evolutionary Computation, 27(6):1604--1617, 2023. [ bib | DOI ]
[43] Amirhossein Mostofi, Vipul Jain, Yi Mei, and Lyes Benyoucef. A new pricing mechanism for pharmaceutical supply chains: a game theory analytical approach for healthcare service. International Journal of Logistics Research and Applications, 27(7):1228--1250, 2024. [ bib | DOI ]
[44] Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, and Mengjie Zhang. Task relatedness based multitask genetic programming for dynamic flexible job shop scheduling. IEEE Transactions on Evolutionary Computation, 27(6):1705--1719, 2023. [ bib | DOI ]
[45] Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. Multitask multiobjective genetic programming for automated scheduling heuristic learning in dynamic flexible job shop scheduling. IEEE Transactions on Cybernetics, 53(7):4473--4486, 2023. [ bib | DOI ]
[46] Shaolin Wang, Yi Mei, and Mengjie Zhang. A multi-objective genetic programming algorithm with αdominance and archive for uncertain capacitated arc routing problem. IEEE Transactions on Evolutionary Computation, 27(6):1633--1647, 2023. [ bib | DOI ]
[47] Zhixing Huang, Yi Mei, and Jinghui Zhong. Semantic linear genetic programming for symbolic regression. IEEE Transactions on Cybernetics, 54(2):1321--1334, 2024. [ bib | DOI ]
[48] Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, and Mengjie Zhang. Instance rotation based surrogate in genetic programming with brood recombination for dynamic job shop scheduling. IEEE Transactions on Evolutionary Computation, 27(5):1192--1206, 2023. [ bib | DOI ]
[49] Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, and Xiaoping Li. Cooperative coevolution with knowledge-based dynamic variable decomposition for bilevel multiobjective optimization. IEEE Transactions on Evolutionary Computation, 26(6):1553--1565, 2022. [ bib | DOI ]
[50] Yahui Jia, Yi Mei, and Mengjie Zhang. Confidence-based ant colony optimization for capacitated electric vehicle routing problem with comparison of different encoding schemes. IEEE Transactions on Evolutionary Computation, 26(6):1394--1408, 2022. [ bib | DOI | Code ]
[51] Guanqiang Gao, Yi Mei, Bin Xin, Yahui Jia, and Will Browne. Automated coordination strategy design using genetic programming for dynamic multi-point dynamic aggregation. IEEE Transactions on Cybernetics, 52(12):13521--13535, 2022. [ bib | DOI ]
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[53] Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, and Mengjie Zhang. Multitask genetic programming based generative hyper-heuristics: A case study in dynamic scheduling. IEEE Transactions on Cybernetics, 52(10):10515--10528, 2022. [ bib | DOI ]
[54] Boxiong Tan, Hui Ma, Yi Mei, and Mengjie Zhang. A cooperative coevolution genetic programming hyper-heuristic approach for on-line resource allocation in container-based clouds. IEEE Transactions on Cloud Computing, 10(3):1500--1514, 2022. [ bib | DOI ]
[55] Mazhar Ansari Ardeh, Yi Mei, and Mengjie Zhang. Genetic programming with knowledge transfer and guided search for uncertain capacitated arc routing problem. IEEE Transactions on Evolutionary Computation, 26(4):765--779, 2022. [ bib | DOI ]
[56] Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. Collaborative multifidelity-based surrogate models for genetic programming in dynamic flexible job shop scheduling. IEEE Transactions on Cybernetics, 52(8):8142--8156, 2022. [ bib | DOI ]
[57] Yuzhou Zhang, Yi Mei, Shihua Huang, Xin Zheng, and Cuijuan Zhang. A route clustering and search heuristic for large scale multi-depot capacitated arc routing problem. IEEE Transactions on Cybernetics, 52(8):8286--8299, 2022. [ bib | DOI ]
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[59] Yuan Tian, Tifan Xiong, Zhenyuan Liu, Yi Mei, and Wan Li. Multi-objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches. Computers & Industrial Engineering, 167(107897):1--20, 2022. [ bib | DOI ]
[60] Yahui Jia, Yi Mei, and Mengjie Zhang. Contribution-based cooperative co-evolution for non-separable large-scale problems with overlapping subcomponents. IEEE Transactions on Cybernetics, 52(6):4246--4259, 2022. [ bib | DOI ]
[61] Wei Fang, Haolin Zhu, and Yi Mei. Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times. Knowledge-Based Systems, 241:108193, 2022. [ bib | DOI ]
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[63] Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li, and Michael Narag. Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques. Artificial Intelligence in Medicine, 120(102167), 2021. [ bib | DOI ]
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[66] Yi He, Xiao-Hui Liu, Hong-Liang Zhang, Wei Zheng, Fu-Yun Zhao, Marc Aurel Schnabel, and Yi Mei. Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, cfd simulation, image processing and machine learning. Sustainable Cities and Society, 73(103092):1--14, 2021. [ bib | DOI ]
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[71] Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. Correlation coefficient based recombinative guidance for genetic programming hyper-heuristics in dynamic flexible job shop scheduling. IEEE Transactions on Evolutionary Computation, 25(3):552--566, 2021. [ bib | DOI ]
[72] Yi He, Marc Aurel Schnabel, and Yi Mei. A novel methodology for architectural wind environment study by integrating cfd simulation, multiple parametric tools and evaluation criteria. Building Simulation, 13:609--625, 2020. [ bib | DOI ]
[73] Lin Li, Wei Fang, Yi Mei, and Quan Wang. Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Computing, 25:3593--3608, 2021. [ bib | DOI ]
[74] Jordan MacLachlan, Yi Mei, Juergen Branke, and Mengjie Zhang. Genetic programming hyper-heuristics with vehicle collaboration for uncertain capacitated arc routing problems. Evolutionary Computation, 28(4):563--593, 2020. [ bib | DOI ]
[75] Yuxin Liu, Yi Mei, Mengjie Zhang, and Zili Zhang. A predictive-reactive approach with genetic programming and cooperative coevolution for uncertain capacitated arc routing problem. Evolutionary Computation, 28(2):289--316, 2020. [ bib | DOI ]
[76] Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, and Mengjie Zhang. A survey of evolutionary computation for web service composition: A technical perspective. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(4):538--554, 2020. [ bib | DOI ]
[77] Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, and Wentong Cai. A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Computing, 24:7523--7539, 2020. [ bib | DOI ]
[78] Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang. A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand, 49(2):205--228, 2019. [ bib | DOI ]
[79] Su Nguyen, Yi Mei, Bing Xue, and Mengjie Zhang. A hybrid genetic programming algorithm for automated design of dispatching rules. Evolutionary Computation, 27(3):467--496, 2019. [ bib | DOI ]
[80] Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, and Andy Song. A bi-level optimization model for grouping constrained storage location assignment problems. IEEE Transactions on Cybernetics, 48(1):385--398, 2018. [ bib | DOI | Java Code | PDF ]
[81] John Park, Yi Mei, Su Nguyen, Gang Chen, and Mengjie Zhang. An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Applied Soft Computing, 63:72--86, 2018. [ bib | DOI ]
[82] Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, and Mengjie Zhang. Evolutionary computation for automatic web service composition: an indirect representation approach. Journal of Heuristics, 24(3):425--456, 2018. [ bib | DOI ]
[83] Yi Mei, Su Nguyen, Bing Xue, and Mengjie Zhang. An efficient feature selection algorithm for evolving job shop scheduling rules with genetic programming. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5):339--353, 2017. [ bib | DOI | Java Code | PDF ]
[84] Md Jakirul Islam, Xiaodong Li, and Yi Mei. A time-varying transfer function for balancing the exploration and exploitation ability of a binary pso. Applied Soft Computing, 59:182--196, 2017. [ bib | DOI ]
[85] Mohammad Nabi Omidvar, Ming Yang, Yi Mei, Xiaodong Li, and Xin Yao. Dg2: A faster and more accurate differential grouping for large-scale black-box optimization. IEEE Transactions on Evolutionary Computation, 21(6):929--942, 2017. [ bib | DOI ]
[86] Su Nguyen, Yi Mei, and Mengjie Zhang. Genetic programming for production scheduling: a survey with a unified framework. Complex and Intelligent Systems, 3(1):41--66, 2017. [ bib | DOI ]
[87] Mohammad Saiedur Rahaman, Yi Mei, Margaret Hamilton, and Flora D Salim. Capra: A contour-based accessible path routing algorithm. Information Sciences, 385:157--173, 2017. [ bib | DOI | PDF ]
[88] Yuzhou Zhang, Yi Mei, Ke Tang, and Keqin Jiang. Memetic algorithm with route decomposing for periodic capacitated arc routing problem. Applied Soft Computing, 52:1130--1142, 2017. [ bib | DOI | Results ]
[89] Jianhua Liu, Yi Mei, and Xiaodong Li. An analysis of the inertia weight parameter for binary particle swarm optimization. IEEE Transactions on Evolutionary Computation, 20(5):666--681, 2016. [ bib | DOI | PDF ]
[90] Yi Mei, Flora D Salim, and Xiaodong Li. Efficient meta-heuristics for the multi-objective time-dependent orienteering problem. European Journal of Operational Research, 254(2):443--457, 2016. [ bib | DOI | Java Code | PDF ]
[91] Pietro A Consoli, Yi Mei, Leandro L Minku, and Xin Yao. Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Computing, 20(10):3889--3914, 2016. [ bib | DOI ]
[92] Yi Mei, Xiaodong Li, and Xin Yao. On investigation of interdependence between sub-problems of the travelling thief problem. Soft Computing, 20(1):157--172, 2016. [ bib | DOI ]
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