Computer Science / Faculty of Science and Engineering
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University of Nottingham Ningbo China


199 Taikang East Road, Ningbo, 315100, China


+86 574 8818000 (ext 8278)


PhD in Computer Science


BSc in Aircraft Manufacturing Engineering



1999年6月和2002年4月分别获西北工业大学学士和硕士学位,2005年9月获英国诺丁汉大学计算机科学博士学位,2005年10月至2007年8月在诺丁汉大学自动调度优化与规划实验室(ASAP)作博士后研究,是英国EPSRC两个课题(Refs: GR/S70197/01 and GR/R60577/01)的主要研究人员。 

于2007年9月回国在宁波诺丁汉大学计算机科学系任教,研究领域包括智能计算、组合优化、数据挖掘及建模与仿真,重点研究与开发下一代智能型、自适应决策支持系统,并应用于智能交通、物流运输、调度优化等领域。目前主持国家自然科学基金(面上)1项,自然科学基金国际合作交流项目(NSFC-RS)1项,已完成自然科学基金(青年基金)1项,浙江省自然基金1项, “钱江人才”D类项目1项,宁波市国际合作项目及自然基金个1项。作为核心成员参与国家自然基金1项,宁波市第一层次创新团队1项,宁波市工业与科技重大项目1项。ACM GEC2009会议最佳论文奖,IEEE SSCI2013会议最佳会议论文提名。宁波市自然科学论文奖2次;在相关领域发表高质量学术论文34篇,大多为第一作者或通讯作者。其中SCI收录25篇,期刊论文18篇;开发出包括宁波港集装箱转码头运输优化、环境效益评价(LCA)等软硬件云平台2套。

代表文章包括1篇INFORMS Journal on Computing (UT/Dallas经济管理类24个最权威期刊之一),2篇 Transportation Research Part B: Methodological (ABS管理类Level 4期刊,交通运输唯一4星期刊),1篇IEEE Transactions on Evolutionary Computation(智能计算1区期刊,IF:5.55),全部为第一作者;以通讯作者发表1篇EJOR(ABS运筹管理类Level 3期刊)。担任国家自然基金评审专家及多个国际学术会议的程序委员会委员(IEEE CEC, IEEE SSCI, GECCO, MISTA, EvoCOP, ISDA, IEA/AIE, ACM GEC)。他同时参与多个国际期刊论文的评审工作,包括IEEE TEC, IEEE TSMCA, Transportation Research Part B,ESWA, INS, Annals OR, Omega, Journal of Heuristics以及Journal of Mathematical Modelling and Algorithms。此外他还与来自不同学校和国家的知名学者有密切科研合作。


I have taught the following modules at undergraduate level since 2007.

•         AE1CSA: Computer System Architectures (2007-2013)

•         AE1UST: Unix Software and Tools (2007-2008)

•         AE1DBS: Database Systems (2007-2015)

•         AE1PRG: Programming (2014-2015)

•         AE1IMO: Introduction to Modelling and Optimisation (2014-2015)

•         AE2OSC: Operating System and Concurrency (2015-2017)

•         AE3IDS/J: Individual Dissertation Single/Joint Honours (2014-2017)

•         AE2AIM: Artificial Intelligence Methods. (2017-2019)


Internal Examination of PhD and MPhil degrees

I am the first supervisor for the following 5 PhD students.

  • Jianun Chen: Freight transportation optimisation, Gradated in 2016.
  • Tianxiang Cui: Hybridising Metaheuristics and Exact Methods For Portfolio Optimisation Problem. Graduated in 2016.
  • Ning Xue: Hybrid algorithms for vehicle routing problems, Graduated in January 2017.
  • Xiang Li: Life cycle assessment (LCA) based optimisation in automotive engineering, to Graduated in May 2017.
  • Xia Li: Transportation intelligence and data analytics, Graduated in July 2017.
  • Xiaoping Jiang: Stochastic service network design optimisation, to finish in March. 2019
  • Yuchang Zhang: Approximate Dynamic Programming for Port Optimisations, Started in 2016.
  • Chaofan Tu: Robust data mining in healthcare informatics. Started in 2017.


My research interests are mainly focused on employing latest search and machine learning techniques (Meta-heuristics, Hyper-heuristics, Evolutionary Algorithms, and Machine Learning) as well as conventional optimisation approaches (LP/IP/MIP, Branch & Bound, Cutting Plane, Nonlinear Programming) to solve various real-world problem applications, including transportation scheduling, space planning, and timetabling. I am particularly interested in studying how search algorithms can automatically adapt to different environments and circumstances by learning from either during or after search processes.


Refereed Journal Paper

  1. Binhui Chen, Rong Qu, Ruibin Bai, Wasakorn Laesanklang. 2018. A Hyper-Heuristic with Two Guidance Indicators for Bi-Objective Mixed-Shift Vehicle Routing Problem with Time Windows. Applied Intelligence. Accepted. (SCI Q2, IF: 1.983, Regular paper).
  2. *Ruibin Bai, John R. Woodward, Nachiappan Subramanian, John Cartlidge. 2018. Optimisation of Transportation Service Network Using κ-node Large Neighbourhood Search. Computers & Operations Research. 89:193-205. doi: 10.1016/j.cor.2017.06.008. (SCI).
  3. Chaudhuri, Atanu, Popovska, Iskra Dukovska, Subramanian, Nachiappan, Chan, Hing Kai and Bai, Ruibin. 2018 Decision-making in cold chain logistics using data analytics: a literature review. International Journal of Logistics Management. 29(3): 839-861 (SCI Q3, IF: 1.776).
  4. Adarsh Kumar Singh, Nachiappan Subramanian, Kulwant Singh Pawar and Ruibin Bai. 2018. Cold chain configuration design: Location-allocation decision-making using coordination, value deterioration, and big data approximation. Annals of Operations Research 270: 433–457. doi: https://doi.org/10.1007/s10479-016-2332-z , (SCI Q2, IF: 1.864).
  5. Xiaoping Jiang, *Ruibin Bai, Jason Atkin, Graham Kendall. 2016. A Scheme for Determining Vehicle Routes Based on Arc-based Service Network Design. Information Systems and Operational Research. 55(1):16-37. (SCI, Regular paper).
  6. Dongsheng Zhao, Gethin Wyn Roberts, Lawrence Lau, Craig M. Hancock and Ruibin Bai. 2016. A Theoretical and Empirical Integrated Method to Select the Optimal Combined Signals for Geometry-Free and Geometry-Based Three-Carrier Ambiguity Resolution. Sensors. 16(11), 1929. doi: doi:10.3390/s16111929. (SCI, Regular paper).
  7. Xiang Li, Ruibin Bai and Jon McKechnie. 2016. Environmental and financial performance of mechanical recycling of carbon fibre reinforced polymers and comparison with conventional disposal routes. Journal of Cleaner Production. 127: 451-460 (SCI, Regular Paper).
  8. Graham Kendall, Ruibin Bai, Jacek Blazewicz, Patrick De Causmaecker, Michel Gendreau, Robert John, Jiawei Li, Barry McCollum, Erwin Pesch, Rong Qu, Nasser Sabar, Greet Vanden Berghe and Angelina Yee. 2016. Good Laboratory Practice for optimization research. Journal of the Operational Research Society. 67(4): 676–689. doi: 10.1057/jors.2015.77. (SCI, Regular Paper).
  9. Ruibin Bai, Ning Xue, Jianjun Chen and Gethin W. Roberts. 2015. A Set-covering Model for a Bidirectional Multi-shift Full Truckload Vehicle Routing Problem. Transportation Research Part B: Methodological. 79:134-148. doi: 10.1016/j.trb.2015.06.002.(SCI, Regular Paper).
  10. Jingpeng Li, Ruibin Bai, Yindong Shen, and Rong Qu. 2014. Search with Evolutionary Ruin and Stochastic Rebuild: a Theoretic Framework and a Case Study on Exam Timetabling. European Journal of Operations Research. 242:798-806. doi:10.1016/j.ejor.2014.11.002. (SCI, Regular Paper, ABS Level4).
  11. Rong Qu, Nam Pham, Ruibin Bai, Graham Kendall. 2014. Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Applied Intelligence. 42:679–693. doi:10.1007/s10489-014-0615-0. (SCI, Regular Paper).
  12. Ramanathan J. Basu, Ruibin Bai, and PL.A. Palaniappan. 2015. A strategic approach to improve sustainability in transportation service procurement. Transportation Research Part E: Logistics and Transportation Review. 74:152-168. (SCI, Regular Paper).
  13. Ruibin Bai, Stein W. Wallace, Jingpeng Li and Alain Yee-Loong, Alain.2014. Stochastic Service Network Design with Rerouting. Transportation Research Part B: Methodological. 60:50-65. doi:10.1016/j.trb.2013.11.001. (SCI, Regular Paper, ABS Level 4).
  14. Yisong Chen, Yanping Yang, Xiang Li, Haibo Dong and Ruibin Bai. 2014. Life cycle resource consumption of automotive power seats. International Journal of Environmental Studies 71(4):449-462. doi:10.1080/00207233.2014.942150
  15. Bai, Ruibin, Li, Jiawei, Atkin , Jason A D, and Kendall, Graham. 2014. A Novel Approach to Independent Taxi Scheduling Problem Based on Stable Matching. Journal of the Operational Research Society. 65(10):1501-1510. dio:10.1057/jors.2013.96. (SCI, Regular Paper).
  16. Chong, A.Y.L. and Bai, Ruibin, 2014. Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach. Expert Systems with Application. 41(1):221-229. doi: 10.1016/j.eswa.2013.07.023. (SCI, Regular Paper).
  17. Shi Cheng, Yuhui Shi, Quande Qin, Qingyu Zhang and Ruibin Bai. 2015. Population Diversity Maintenance In Brain Storm Optimization Algorithm. Journal of Artificial Intelligence and Soft Computing Research. 4(2):83-97. (doi: 10.1515/jaiscr-2015-0001, Regular Paper).
  18. Xing, Huanlai, Qu, Rong, Kendall, Graham and Bai, Ruibin. 2013. A path-oriented encoding evolutionary algorithm for network coding resource minimization. Journal of the Operational Research Society. 65(8):1261–1277. doi:10.1057/jors.2013.79. (SCI, Regular Paper).
  19. Ruibin Bai, Tom van Woensel, Graham Kendall and Edmund K. Burke. 2013. A new model and a hyper-heuristic approach for two-dimensional shelf space allocation, 4OR - A Quarterly Journal of Operations Research, 11(1):31-55. doi: 10.1007/s10288-012-0211-2. (SCI, Regular Paper).
  20. Li, J., Davies, G.J., Kendall, G., Soanec, E., Bai, R., Rocks, S.A., Evidence and Belief in Regulatory Decisions Incorporating Expected Utility into decision modelling, Expert Systems with Applications, 39(10):8604-8610, 2012. doi:http://dx.doi.org/10.1016/j.eswa.2012.01.193. (SCI, Regular Paper).
  21. Bai, R., Kendall, G., Qu, R., Atkin, J. Tabu assisted guided local search approaches for freight service network Design. Information Sciences, 189:266-281, 2012. doi:http://dx.doi.org/10.1016/j.ins.2011.11.028. (SCI, Regular Paper).
  22. Bai, R., J. Blazewicz, E. Burke, G. Kendall and B. McCollum, B. A Simulated Annealing Hyper-heuristic Methodology for Flexible Decision Support. 4OR - A Quarterly Journal of Operations Research, 10(1):43-66, 2012. doi: 10.1007/s10288-011-0182-8. (SCI, Regular Paper).
  23. Bai, R., Burke, E. K., Kendall, G., Li, J. and McCollum, B. 2010. A Hybrid Evolutionary Approach to the Nurse Rostering Problem. IEEE Transaction on Evolutionary Computation, 14(4):580-590. doi:http://dx.doi.org/10.1109/TEVC.2009.2033583. (SCI, Regular Paper).
  24. Bai, R. and Kendall, G. 2008. A Model for Fresh Produce Shelf Space Allocation and Inventory Management with Freshness Condition Dependent Demand, INFORMS Journal on Computing 20(1):78-85. doi: http://dx.doi.org/10.1287/ijoc.1070.0219. (SCI, Regular Paper).
  25. Bai, R. , Burke, E. K. and Kendall, G. 2008. Heuristic and Meta-heuristics for the Optimisation of Fresh Produce Inventory Control and Shelf Space Allocation Problem, Journal of the Operational Research Society 59:1387-1397. doi:http://dx.doi.org/10.1057/palgrave.jors.2602463. (SCI, Regular Paper).
  26. Bai, R., Modeling Issues of Multi-level Multi-Mode Freight Service Network Design and Fleet Scheduling, China Market-Logistics and Procurement Research, 41: 107-120, 2010, in Chinese.
  27. Bai, Ruibin and Kendall, Graham, 2005. An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-heuristics. Operations Research/Computer Science Interfaces Series 32: 87-108.


Conference Papers

  1. Cartlidge, John and Gong, Shuhui and Bai, Ruibin and Yue, Yang and Li, Qingquan and Qiu, Guoping. 2018. Spatio-temporal prediction of shopping behaviours using taxi trajectory data, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018), pp. 112—116, Shanghai, China, March 9-12, 2018.

  2. Gong, Shuhui and Cartlidge, John and Bai, Ruibin and Yue, Yang and Li, Qingquan and Qiu, Guoping. 2018. Automated prediction of shopping behaviours using taxi trajectory data and social media reviews. 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018), pp. 112—116, Shanghai, China, March 9-12, 2018.
  3. Ruibin Bai, Stein W. Wallace, Xiaoping Jiang, Graham Kendall, Dario Landa-Silva. 2018. Designing e-Commerce Transportation Network: Challenges and Solutions. 6th INFORMS Transportation Science and Logistics Society Workshop. 7 - 10 January, 2018. Hong Kong, China.
  4. Ruibin Bai, Ning Xue, Xia Li, Tianxiang Cui. 2017. Responsive Single Bus Corridor Scheduling Based on Machine Learning and Optimisation. The 8th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2017). 5 Dec - 8 Dec 2017, Kuala Lumpur, Malaysia.
  5. Xiaoping Jiang, Ruibin Bai, Dario Landa-Silva and Uwe Aickelin. Fuzzy C-Means-based Scenario Bundling for Stochastic Service Network Design. 2017 IEEE Symposiums on Computational Intelligence in Scheduling and Network Design (CISND2017), November 27 To December 1, 2017, Hawaii, USA.
  6. X. Li, R. Bai, Freight Vehicle Travel Time Prediction Using Gradient Boosting Regression Tree, The 15th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'16), Anaheim, California, USA, December 18-20, 2016. (Poster Paper)
  7. Ruibin Bai, John R. Woodward and Nachiappan Subramanian. 2016. A New Fast Large Neighbourhood Search for Service Network Design with Asset Balance Constraints.  2016 IEEE Symposiums on Computational Intelligence in Scheduling and Network Design (CISND2017), 6-9 December, 2016 Athens, Greece.
  8. Jianjun Chen, Ruibin Bai, Haibo Dong, Rong Qu and Graham Kendall. 2016. A Dynamic Truck Dispatching Problem in Marine Container Terminal. 2016 IEEE Symposiums on Computational Intelligence in Scheduling and Network Design (CISND2017), 6-9 December, 2016 Athens, Greece.
  9. Li, X., Bai, R., 2016. Freight vehicle travel time prediction using sparse Gaussian processes regression with trajectory data, in the proceedings of the 17th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2016), Yangzhou, China, October 12–14, 2016, pp. 143–153.
  10. Ning Xue, Ruibin Bai. A Branch-and-price Approach for the Bidirectional Multi-shift Full Truckload Vehicle Routing Problem. The 8th International Annual Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE2015), Shenyang, China. 25-27 July, 2015.
  11. Ning Xue, Ruibin Bai, Gethin W. Roberts. A study of automated container truck travel time prediction based on real-life GPS data Using ARIMA. The 9th International Conference on Operations and Supply Chain Management (ICOSCM2015). This paper was given the “Outstanding Paper Award”, 12th -15th July 2015.
  12. Tianxiang Cui, Ruibin Bai, Andrew J. Parkes, Fang He, Rong Qu, Jingpeng Li. 2015. A Hybrid Genetic Algorithm for a Two-Stage Stochastic Portfolio Optimization With Uncertain Asset Prices. In the proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC2015), Sendai, Japan, 25-28th May 2015.
  13. Xia Li, Ruibin Bai, Peer-Olaf Siebers and Christian Wagner. 2014. Modeling Urban Road Risky Driving Behaviors in China with Multi-agent Microscopic Traffic Simulation. 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). October 8-11, 2014. Qingdao, China.
  14. Tianxiang Cui, Shi Cheng and Ruibin Bai. 2014. A Combinatorial Algorithm for the Cardinality Constrained Portfolio Optimization Problem. 2014 IEEE Congress on Evolutionary Computation (CEC) July 6-11, Beijing, China. pp. 491-498.
  15. Shi Cheng, Yuhui Shi, Quande Qin, T. O. Ting and Ruibin Bai. 2014. Maintaining Population Diversity in Brain Storm Optimization Algorithm. 2014 IEEE Congress on Evolutionary Computation (CEC) July 6-11, Beijing, China. pp. 3230-3237.
  16. Cheng, Shi, Shi, Yuhui, Qin, Quande and Bai, Ruibin. 2013. Swarm Intelligence in Big Data Analytics. In the proceedings of 2013 Intelligent Data Engineering and Automated Learning (IDEAL 2013), Lecture Notes in Computer Science Volume 8206, pp 417-426. Springer.
  17. Chen, Jianjun, Bai, Ruibin, Qu, Rong and Kendall, Graham, 2013. A Task Based Approach for A Real-World Commodity Routing Problem. In the proceedings of 2013 IEEE Symposium Series on Computational Intelligence, April 15-19, 2013, Singapore. Nominated for best paper award.
  18. Bai, R., J. Li and J. Atkin, G. Kendall,. 2011, A Game Theoretic Approach for the Taxi Scheduling Problem with Street Hailing, The 5rd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2011), 9-12 August, 2011, Arizona, US.
  19. Bai, R. and Kendall, G. 2010. "Tabu Assisted Guided Local Search Approaches for Freight Service Network Design". In the CD proceedings of the 8th International Conference on the Practice and Theory of of Automated Timetabling, 10th-13th August, 2010, Belfast, Northern Ireland, pp. 468-471.
  20. Bai, R., Kendall, G. and Li, J. An Efficient Guided Local Search Approach for Service Network Design Problem with Asset Balancing, 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM 2010), 9-10 January, 2010, Harbin, China, pp. 110-115.
  21. Li, J., Kendall, G., Pollard, S., Soane, E., Davies, G. and Bai, R. A Decision Support Approach for Group Decision Making under Risk and Uncertainty, 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM 2010), 9-10 January, 2010, Harbin, China, pp. 1856-1860.
  22. Woodward, J.R. and Bai, R., 2009. A Canonical Representation for Genetic Programming, Accepted by World Summit on Genetic and Evolutionary Computation (GEC Summit), June 12 - 14, 2009, Shanghai, China. ACM, pp. 582-592. This paper also won the best paper award (out of 108 full papers).
  23. Woodward, J.R. and Bai, R.., 2009. Why Evolution Is Not a Good Paradigm For Program Induction; A Critique of Genetic Programming, Accepted by World Summit on Genetic and Evolutionary Computation (GEC Summit), June 12 - 14, 2009, Shanghai, China. ACM, pp. 593-600.
  24. Bai, R., Burke, E. K., Gendreau M. and Kendall, G. 2007. A Simulated Annealing Hyper-heuristic: Adaptive Heuristic Selection for Different Vehicle Routing Problems. The 3rd Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2007), Paris, France, August 28-31.
  25. Bai, R., Burke, E. K., Kendall, G. and McCollum, B., 2007. Memory Length in Hyper-heuristics: An Empirical Study. Accepted for publication in the proceeding of 2007 IEEE Symposium on Computational Intelligence in Scheduling (CISched2007), 1-5 April, Hilton Hawaiian Village, Honolulu, Hawaii, USA, pp.173-178.
  26. Bai, R., Burke, E. K., Kendall, G. and McCollum, B., 2006. A Simulated Annealing Hyper-heuristic for University Course Timetabling Problem. In the Proceeding of the 6th International Conference on the Practice and Theory of Automated Timetabling, 30 Aug.-1 Sept, Brno, Czech Republic, pp. 345-350.
  27. Bai, R. and Kendall, G., 2005. An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-heuristic. In the Proceedings of the 5th Metaheuristics International Conference (MIC 2003), Kyoto, Japan, Aug. 25-28, 2003.

科研项目 / 研究基金


[1] 白瑞斌主持,物流服务网络设计及海公铁智能集装箱综合调度。宁波市科技局,引进共建研究院所专项资金计划,项目编号:2014A35006,金额150万,2015-2018。

[2] 白瑞斌主持,随机运输服务网络设计场景树压缩及应用研究。国家自然科学基金,项目编号:71471092,金额:60万,2015-2018。

[3] 邱国平主持,第二参与人白瑞斌,从大数据到新知识的关键技术研究及其在智能物流管理服务平台中的应用。宁波市科技重大项目,金额:120万,项目编号:2012B10055, 起止年月:2012-1015。

[4] 白瑞斌主持,供应链管理中高能效货物运输调度研究,自然科学基金国际(地区)合作与交流项目(NSFC-RS),金额:7.3万,项目编号:71311130142,起止年月:2013-4至2015-3。英方合作人:屈嵘博士。

[5] 白瑞斌主持,大型物流运输服务网络设计与车辆调度:新模型和基于超启发式算法的优化算法研究。经费来源:国家自然科学基金,青年科学基金,金额:17.7万,项目编号:71001055,起止年月:2011.01-2013.12,合作人:屈嵘博士(英国),Graham Kendall教授(英国),Amin Farjudian博士(宁波诺丁汉)。

[6] Nabil Gindy主持,第五参与人白瑞斌,汽车零部件低碳制造,宁波市科技局,创新团队第一层次,金额:900万,起止年月:2011-10至2017-9月。生态效益评估(LCA)项目负责人。

[7] 白瑞斌主持,基于动态调度和超启发式算法的物流运输网络设计与车辆调度优化研究。经费来源:浙江省自然科学基金一般项目,金额:10万,项目编号:Y1100132,起止年月:2010.06-2012.6,合作人:缪立新教授(清华大学),Graham Kendall教授(英国),屈嵘博士(英国),Amin Farjudian博士(宁波诺丁汉)。已结题。

[8] 白瑞斌主持,分布式智能出租车调度系统,浙江省“钱江人才计划”D类,经费来源:浙江省科技厅,金额:5万,项目编号:QJD0802001,起止年月:2009.01-2011.12。合作人:白瑞斌,Edmund Burke(英国),Andrzej Bargiela(英国)。已结题。

[9] 白瑞斌主持,基于粒度计算和超启发式搜索的含不确定因素交通与物流调度系统研究,宁波市科技局国际合作项目,金额:20万,项目编号:2008B10040,经费来源:宁波市科技局,项目编号:2008B10040,起止年月: 2008.09-2011.08。合作人:屈嵘,Thomas Anberree,Edmund Burke,Andrzej Bargiela。已结题。

[10] 白瑞斌主持,现代物流系统运输网络调度橹棒性研究,宁波市自然科学基金项目,2008A610013,经费来源:宁波市科技局,金额:5万,项目编号:2008A610013,起止年月:2008.02-2010.02。合作人:白瑞斌,Andrzej Bargiela,Thomas Anberree。已结题。