Dr Xinan Yang
-
Email
xyangk@essex.ac.uk -
Telephone
+44 (0) 1206 872787
-
Location
STEM 5.17, Colchester Campus
-
Academic support hours
Open door policy.
Profile
Biography
I had my first degree in Applied Mathematics in China at Fudan University and then moved tothe UK to pursue my postgraduate studies. Both my MSc and PhD studieswere done at University of Edinburgh in Operational Research. Prior to joining the University of Essex, I worked as a Senior Research Associate in Lancaster University Management School.
Qualifications
-
Ph.D. in Operational Research, Supervisor Andreas Grothey, University of Edinburgh (2011)
-
MSc in Operational Research (with distinction), University of Edinburgh (2007)
-
BSc in Applied Mathematics, Fudan University, China (2006)
Research and professional activities
Research interests
Stochastic Optimization and its applications in various fields,mainly concerned aboutbut not restricted to Telecommunications, Inventory Control, Revenue Management and Energy industry. Major methodologies that have been used/investigated are Dynamic Programming (DP) and Approximate Dynamic Programming (ADP). Exact and heuristic solution methods for mixed integer linear programming problems are alsoinvestigated butare to my secondary interest at the moment.
Current research
Approximate dynamic programming
Markov decision process
Revenue management in e-grocery delivery
Mixed-integer linear programming problems
Teaching and supervision
Current teaching responsibilities
-
Nonlinear Programming (MA305)
-
Research Methods (MA902)
Current supervision
Publications
Journal articles (16)
Alsoufi, G., Yang, X. and Salhi, A., An evolutionary approach to solving a new integrated quay crane assignment and quay crane scheduling mathematical model. European Journal of Operational Research
Yang, X., Chitsuphaphan, T., Dai, H. and Meng, F., (2022). EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply. World Electric Vehicle Journal. 13 (7), 122-122
Yang, X. and Thomos, N., (2021). An approximate dynamic programming approach for collaborative caching. Engineering Optimization. 53 (6), 1005-1023
Hosseini, E., Sadiq, AS., Ghafoor, KZ., Rawat, DB., Saif, M. and Yang, X., (2021). Volcano eruption algorithm for solving optimization problems. Neural Computing and Applications. 33 (7), 2321-2337
Yang, X., Salhi, A. and Daham, H., (2021). Combined Strip and Discharge Delivery of Containers in Heterogeneous Fleets with Time Windows. Computers and Operations Research. 127, 105141-105141
Yang, X. and Daham, H., (2020). A column generation based decomposition and aggregation approach for combining orders in inland transportation of containers. OR Spectrum. 42 (1), 261-296
Salhi, A., Alsoufi, G. and Yang, X., (2019). An evolutionary approach to a combined mixed integer programming model of seaside operations as arise in container ports. Annals of Operations Research. 272 (1-2), 69-98
Alsoufi, G., Yang, X. and Salhi, A., (2018). Combined quay crane assignment and quay crane scheduling with crane inter-vessel movement and non-interference constraints. Journal of the Operational Research Society. 69 (3), 372-383
Daham, HA., Yang, X. and Warnes, MK., (2017). An efficient mixed integer programming model for pairing containers in inland transportation based on the assignment of orders. Journal of the Operational Research Society. 68 (6), 678-694
Yang, X. and Strauss, AK., (2017). An approximate dynamic programming approach to attended home delivery management. European Journal of Operational Research. 263 (3), 935-945
Yang, X., Strauss, AK., Currie, CSM. and Eglese, R., (2016). Choice-Based Demand Management and Vehicle Routing in E-Fulfillment. Transportation Science. 50 (2), 473-488
Yang, X., Vernitski, A. and Carrea, L., (2016). An approximate dynamic programming approach for improving accuracy of lossy data compression by Bloom filters. European Journal of Operational Research. 252 (3), 985-994
Alsoufi, G., Yang, X. and Salhi, A., (2015). A combined Mixed Integer Programming model of seaside operations arising in container ports. EURO Journal on Computational Optimization
Grothey, A. and Yang, X., (2012). Approximate dynamic programming with B�zier Curves/Surfaces for Top-percentile Traffic Routing. European Journal of Operational Research. 218 (3), 698-707
Yang, X. and Grothey, A., (2012). Solving the Top-percentile traffic routing problem by Approximate Dynamic Programming. IMA Journal of Management Mathematics. 23 (4), 413-434
Grothey, A. and Yang, X., (2011). Top-percentile traffic routing problem by dynamic programming. Optimization and Engineering. 12 (4), 631-655
Book chapters (1)
Alsoufi, G., Yang, X. and Salhi, A., (2016). Robust Berth Allocation Using a Hybrid Approach Combining Branch-and-Cut and the Genetic Algorithm. In: Hybrid Metaheuristics. Springer International Publishing. 187- 201. 9783319396354
Conferences (1)
Chitsuphaphan, T., Yang, X. and Dai, H., (2020). Stochastic Programming for Residential Energy Management with Electric Vehicle under Photovoltaic Power Generation Uncertainty
Reports and Papers (1)
Yang, X. and Thomos, N., (2019). A rolling-horizon dynamic programming approach for collaborative caching
Grants and funding
2021
YANG 210628
London Mathematical Society
2020
MSC KTP Application
MEDITERRANEAN SHIPPING COMPANY (UK) LIMITED
2018
Dynamic Pricing and emission control for e-grocery fulfilment
University of Essex
The project will improve efficiencies of the system, customer demand and control the price in real time.
Ocado Technology
Contact
Academic support hours:
Open door policy.