Yi Mei's Publication List

Note: Publications listed below are made on-line available for faster dissemination. The copyright of the papers is owned by their publisher.
All the codes are provided to help empirical comparison and understand the idea of the work. We guarantee them to be the original code from which the results in the papers were obtained (there is no trick). Please do NOT misuse them. We'd appreciate it if you cite the relevant paper when using the codes.

Journals

[1]	Su Nguyen, Yi Mei, Bing Xue, and Mengjie Zhang. A hybrid genetic programming algorithm for automated design of dispatching rules. Evolutionary Computation, in Press, 2018. [ bib \| DOI \| .pdf ]
[2]	Boxiong Tan, Hui Ma, Yi Mei, and Mengjie Zhang. Evolutionary multi-objective optimization for web service location allocation problem. IEEE Transactions on Services Computing, in Press, 2018. [ bib \| DOI \| .pdf ]
[3]	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 ]
[4]	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 \| .pdf ]
[5]	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 ]
[6]	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 ]
[7]	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 \| .pdf ]
[8]	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 \| .pdf ]
[9]	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 \| .pdf ]
[10]	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 ]
[11]	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 ]
[12]	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 \| .pdf ]
[13]	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 ]
[14]	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 \| .pdf ]
[15]	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 \| .pdf ]
[16]	Yi Mei, Mohammad Nabi Omidvar, Xiaodong Li, and Xin Yao. A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization. ACM Transactions on Mathematical Software, 42(2):13:1--24, 2016. [ bib \| DOI \| Matlab Code \| .pdf ]
[17]	Yi Mei, Xiaodong Li, and Xin Yao. Cooperative coevolution with route distance grouping for large-scale capacitated arc routing problems. IEEE Transactions on Evolutionary Computation, 18(3):435--449, 2014. [ bib \| DOI \| C Code \| .pdf ]
[18]	Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei, and Xin Yao. Cooperative co-evolution with differential grouping for large scale optimization. IEEE Transactions on Evolutionary Computation, 18(3):378--393, 2014. (TEVC Outstanding Paper Award) [ bib \| DOI \| Matlab Code \| .pdf ]
[19]	Yi Mei, Ke Tang, and Xin Yao. A memetic algorithm for periodic capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 41(6):1654--1667, 2011. [ bib \| DOI \| Results \| .pdf ]
[20]	Yi Mei, Ke Tang, and Xin Yao. Decomposition-based memetic algorithm for multiobjective capacitated arc routing problem. IEEE Transactions on Evolutionary Computation, 15(2):151--165, 2011. [ bib \| DOI \| C Code \| .pdf ]
[21]	Ke Tang, Yi Mei, and Xin Yao. Memetic algorithm with extended neighborhood search for capacitated arc routing problems. IEEE Transactions on Evolutionary Computation, 13(5):1151--1166, 2009. [ bib \| DOI \| C Code \| .pdf ]
[22]	Yi Mei, Ke Tang, and Xin Yao. A global repair operator for capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39(3):723--734, 2009. [ bib \| DOI \| C Code \| .pdf ]

Book Chapters

[1]	Yi Mei, Ke Tang, and Xin Yao. Evolutionary computation for dynamic capacitated arc routing problem. In Evolutionary Computation for Dynamic Optimization Problems, pages 377--401. Springer, 2013. [ bib \| DOI \| .pdf ]

Conference Proceedings

[1]	Fangfang Zhang, Yi Mei, and Mengjie Zhang. Genetic programming with multi-tree representation for dynamic flexible job shop scheduling. In Australasian Joint Conference on Artificial Intelligence, pages 472--484. Springer, 2018. (Best Paper Runner-Up Award) [ bib \| DOI \| .pdf ]
[2]	Fangfang Zhang, Yi Mei, and Mengjie Zhang. Surrogate-assisted genetic programming for dynamic flexible job shop scheduling. In Australasian Joint Conference on Artificial Intelligence, pages 766--772. Springer, 2018. [ bib \| DOI \| .pdf ]
[3]	Jordan MacLachlan, Yi Mei, Juergen Branke, and Mengjie Zhang. An improved genetic programming hyper-heuristic for the uncertain capacitated arc routing problem. In Australasian Joint Conference on Artificial Intelligence, pages 432--444. Springer, 2018. [ bib \| DOI \| Java Code \| .pdf ]
[4]	Atiya Masood, Gang Chen, Yi Mei, and Mengjie Zhang. Adaptive reference point generation for many-objective optimization using nsga-iii. In Australasian Joint Conference on Artificial Intelligence, pages 358--370. Springer, 2018. [ bib \| DOI \| .pdf ]
[5]	John Park, Yi Mei, Su Nguyen, Gang Chen, and Mengjie Zhang. Evolutionary multitask optimisation for dynamic job shop scheduling using niched genetic programming. In Australasian Joint Conference on Artificial Intelligence, pages 739--751. Springer, 2018. [ bib \| DOI \| .pdf ]
[6]	Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, and Jinyan Li. Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes. In Australasian Joint Conference on Artificial Intelligence, pages 104--110. Springer, 2018. [ bib \| DOI \| .pdf ]
[7]	Boxiong Tan, Hui Ma, and Yi Mei. A genetic programming hyper-heuristic approach for online resource allocation in container-based clouds. In Australasian Joint Conference on Artificial Intelligence, pages 146--152. Springer, 2018. [ bib \| DOI \| .pdf ]
[8]	Deepak Karunakaran, Yi Mei, Gang Chen, and Mengjie Zhang. Sampling heuristics for multi-objective dynamic job shop scheduling using island based parallel genetic programming. In International Conference on Parallel Problem Solving from Nature, pages 347--359. Springer, 2018. [ bib \| DOI \| .pdf ]
[9]	Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, and Mengjie Zhang. A hybrid memetic approach for fully automated multi-objective web service composition. In Proceedings of the IEEE International Conference on Web Services, pages 26--33. IEEE, 2018. (Best Paper Runner-Up) [ bib \| DOI \| .pdf ]
[10]	Yi Mei and Mengjie Zhang. Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 141--142. ACM, 2018. [ bib \| Java Code \| .pdf ]
[11]	Daniel Yska, Yi Mei, and Mengjie Zhang. Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 149--150. ACM, 2018. [ bib \| .pdf ]
[12]	Yi Mei and Mengjie Zhang. Genetic programming hyper-heuristic for stochastic team orienteering problem with time windows. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1--8. IEEE, 2018. [ bib \| DOI \| Java Code \| .pdf ]
[13]	Daniel Yska, Yi Mei, and Mengjie Zhang. Genetic programming hyper-heuristic with cooperative coevolution for dynamic flexible job shop scheduling. In Proceedings of the European Conference on Genetic Programming, pages 306--321. Springer, 2018. [ bib \| DOI \| .pdf ]
[14]	John Park, Yi Mei, Su Nguyen, Gang Chen, and Mengjie Zhang. Investigating a machine breakdown genetic programming approach for dynamic job shop scheduling. In Proceedings of the European Conference on Genetic Programming, pages 253--270. Springer, 2018. [ bib \| DOI \| .pdf ]
[15]	Atiya Masood, Gang Chen, Yi Mei, and Mengjie Zhang. Reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling. In Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization, pages 116--131. Springer, 2018. [ bib \| DOI \| .pdf ]
[16]	Yi Mei, Su Nguyen, and Mengjie Zhang. Constrained dimensionally aware genetic programming for evolving interpretable dispatching rules in dynamic job shop scheduling. In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning, pages 435--447. Springer, 2017. [ bib \| DOI \| .pdf ]
[17]	Yiming Peng, Gang Chen, Mengjie Zhang, and Yi Mei. Effective policy gradient search for reinforcement learning through neat based feature extraction. In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning, pages 473--485. Springer, 2017. [ bib \| DOI ]
[18]	Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, and Mengjie Zhang. Evolving transferable artificial neural networks for gameplay tasks via neat with phased searching. In Proceedings of the Australasian Joint Conference on Artificial Intelligence, pages 39--51. Springer, 2017. [ bib \| DOI \| .pdf ]
[19]	Yuxin Liu, Yi Mei, Mengjie Zhang, and Zili Zhang. Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 290--297. ACM, 2017. [ bib \| DOI \| .pdf ]
[20]	Deepak Karunakaran, Yi Mei, Gang Chen, and Mengjie Zhang. Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 282--289. ACM, 2017. [ bib \| DOI \| .pdf ]
[21]	Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, and Mengjie Zhang. Fragment-based genetic programming for fully automated multi-objective web service composition. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 353--360. ACM, 2017. [ bib \| DOI \| .pdf ]
[22]	Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, and Mengjie Zhang. Automated state feature learning for actor-critic reinforcement learning through neat. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 135--136. ACM, 2017. [ bib \| DOI \| .pdf ]
[23]	Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, and Mengjie Zhang. Evolving heuristics for dynamic vehicle routing with time windows using genetic programming. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1948--1955. IEEE, 2017. [ bib \| DOI \| .pdf ]
[24]	Deepak Karunakaran, Yi Mei, Gang Chen, and Mengjie Zhang. Evolving dispatching rules for dynamic job shop scheduling with uncertain processing times. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 364--371. IEEE, 2017. [ bib \| DOI \| .pdf ]
[25]	Boxiong Tan, Hui Ma, and Yi Mei. A nsga-ii-based approach for service resource allocation in cloud. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2574--2581. IEEE, 2017. [ bib \| DOI \| .pdf ]
[26]	Yi Mei, Su Nguyen, and Mengjie Zhang. Evolving time-invariant dispatching rules in job shop scheduling with genetic programming. In Proceedings of the European Conference on Genetic Programming, pages 147--163. Springer, 2017. [ bib \| DOI \| Java Code \| .pdf ]
[27]	Qi Chen, Bing Xue, Yi Mei, and Mengjie Zhang. Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression. In Proceedings of the European Conference on Genetic Programming, pages 229--245. Springer, 2017. [ bib \| DOI \| .pdf ]
[28]	Atiya Masood, Yi Mei, Gang Chen, and Mengjie Zhang. A pso-based reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling. In Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence, pages 326--338. Springer, 2017. [ bib \| DOI \| .pdf ]
[29]	John Park, Yi Mei, Su Nguyen, Gang Chen, and Mengjie Zhang. Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown. In Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence, pages 301--313. Springer, 2017. [ bib \| DOI \| .pdf ]
[30]	Deepak Karunakaran, Yi Mei, Gang Chen, and Mengjie Zhang. Dynamic job shop scheduling under uncertainty using genetic programming. In Proceedings of Intelligent and Evolutionary Systems, pages 195--210. Springer, 2017. [ bib \| DOI \| .pdf ]
[31]	Yi Mei, Mengjie Zhang, and Su Nyugen. Feature selection in evolving job shop dispatching rules with genetic programming. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 365--372. ACM, 2016. [ bib \| DOI \| Java Code \| .pdf ]
[32]	Yi Mei, Bing Xue, and Mengjie Zhang. Fast bi-objective feature selection using entropy measures and bayesian inference. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 469--476. ACM, 2016. [ bib \| DOI \| Java Code \| .pdf ]
[33]	John Park, Yi Mei, Gang Chen, and Mengjie Zhang. Niching genetic programming based hyper-heuristic approach to dynamic job shop scheduling: an investigation into distance metrics. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 109--110. ACM, 2016. [ bib \| DOI \| .pdf ]
[34]	Yi Mei and Mengjie Zhang. A comprehensive analysis on reusability of gp-evolved job shop dispatching rules. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 3590--3597. IEEE, 2016. [ bib \| DOI \| .pdf ]
[35]	Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, and Mengjie Zhang. Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 3053--3060. IEEE, 2016. [ bib \| DOI \| .pdf ]
[36]	Michael Riley, Yi Mei, and Mengjie Zhang. Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 3362--3369. IEEE, 2016. [ bib \| DOI \| .pdf ]
[37]	Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, and Mengjie Zhang. A memetic algorithm-based indirect approach to web service composition. In Proceedings of the IEEE Congress on Evolutionary Computation, 2016. [ bib \| DOI \| .pdf ]
[38]	Longfei Yan, Yi Mei, Hui Ma, and Mengjie Zhang. Evolutionary web service composition: A graph-based memetic algorithm. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 201--208. IEEE, 2016. [ bib \| DOI \| .pdf ]
[39]	Atiya Masood, Yi Mei, Gang Chen, and Mengjie Zhang. Many-objective genetic programming for job-shop scheduling. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 209--216. IEEE, 2016. [ bib \| DOI \| .pdf ]
[40]	John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, and Mengjie Zhang. Genetic programming based hyper-heuristics for dynamic job shop scheduling: cooperative coevolutionary approaches. In Proceedings of the European Conference on Genetic Programming, pages 115--132. Springer, 2016. [ bib \| DOI \| .pdf ]
[41]	Boxiong Tan, Yi Mei, Hui Ma, and Mengjie Zhang. Particle swarm optimization for multi-objective web service location allocation. In Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization, pages 219--234. Springer, 2016. [ bib \| DOI \| .pdf ]
[42]	Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, and Mengjie Zhang. Particle swarm optimisation with sequence-like indirect representation for web service composition. In Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization, pages 202--218. Springer, 2016. (Best Paper Nomination) [ bib \| DOI \| .pdf ]
[43]	Jing Xie, Yi Mei, and Andy Song. Evolving self-adaptive tabu search algorithm for storage location assignment problems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 779--780. ACM, 2015. [ bib \| DOI \| .pdf ]
[44]	Yi Mei, Xiaodong Li, Flora Salim, and Xin Yao. Heuristic evolution with genetic programming for traveling thief problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2753--2760. IEEE, 2015. [ bib \| DOI \| .pdf ]
[45]	Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, and Andy Song. A restricted neighbourhood tabu search for storage location assignment problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2805--2812. IEEE, 2015. [ bib \| DOI \| .pdf ]
[46]	Yi Mei, Xiaodong Li, and Xin Yao. Improving efficiency of heuristics for the large scale traveling thief problem. In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning, pages 631--643. Springer, 2014. [ bib \| DOI \| C++ Code \| .pdf ]
[47]	Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, and Andy Song. Scaling up solutions to storage location assignment problems by genetic programming. In Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning, pages 691--702. Springer, 2014. [ bib \| DOI \| .pdf ]
[48]	Yi Mei, Xiaodong Li, and Xin Yao. Variable neighborhood decomposition for large scale capacitated arc routing problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1313--1320. IEEE, 2014. [ bib \| DOI \| C Code \| .pdf ]
[49]	Jing Xie, Yi Mei, Andreas T Ernst, Xiaodong Li, and Andy Song. A genetic programming-based hyper-heuristic approach for storage location assignment problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 3000--3007. IEEE, 2014. [ bib \| DOI \| .pdf ]
[50]	Mohammad Nabi Omidvar, Yi Mei, and Xiaodong Li. Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1305--1312. IEEE, 2014. [ bib \| DOI \| .pdf ]
[51]	Yi Mei, Xiaodong Li, and Xin Yao. Decomposing large-scale capacitated arc routing problems using a random route grouping method. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1013--1020. IEEE, 2013. [ bib \| DOI \| C Code \| .pdf ]
[52]	Elaine Wah, Yi Mei, and Benjamin W Wah. Portfolio optimization through data conditioning and aggregation. In Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, pages 253--260. IEEE, 2011. [ bib \| DOI \| .pdf ]
[53]	Yi Mei, Ke Tang, and Xin Yao. Capacitated arc routing problem in uncertain environments. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1--8. IEEE, 2010. [ bib \| DOI \| .pdf ]
[54]	Haobo Fu, Yi Mei, Ke Tang, and Yanbo Zhu. Memetic algorithm with heuristic candidate list strategy for capacitated arc routing problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1--8. IEEE, 2010. [ bib \| DOI \| .pdf ]
[55]	Yi Mei, Ke Tang, and Xin Yao. Improved memetic algorithm for capacitated arc routing problem. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 1699--1706. IEEE, 2009. [ bib \| DOI \| .pdf ]

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