People

Adjunct Faculty

LI, Xiaodong    教授、鹏城学者

Email:

xiaodong.li_AT_rmit.edu.au

Office:

Research Area:

Machine learning, Evolutionary computation, Complex systems, Multiobjective optimization, Multimodal optimization (niching), Swarm intelligence, Data mining/analytics, Journey planning, Math-heuristic methods for optimization

Educational Background

◆ 06/1998,Ph.D., Artificial Intelligence,University of Otago, Dunedin, New Zealand

◆ 12/1992,Dip.Com., Information Science,University of Otago, Dunedin, New Zealand

◆ 08/1988,B.Sc., Information Science,Xidian University, Xi’an, China


Professional Experience

3/2017-present Adjunct Professor, Department of Computer Science and Engineering, Southern University of Science and Technology, China

1/2017–present Professor, School of Science (CSSE), RMIT University, Melbourne, Australia

1/2013–12/2016 Associate Professor, School of Science (CSSE), RMIT University, Melbourne, Australia

1/2005–12/2012 Senior Lecturer, School of CS & IT, RMIT University, Melbourne, Australia

1/2001–12/2004 Lecturer, School of Computer Science and IT, RMIT University, Melbourne, Australia

5/1999–12/2000 Lecturer, Gippsland School of Computing, Monash University, Melbourne, Australia

1/1997–5/1999 Associate Lecturer, School of Information and Environmental Sciences, Charles Sturt

University, Albury, NSW, Australia


Honors & Awards

◆ Recipient of 2013 ACM SIGEVO Impact Award

◆ 2017 IEEE Transactions on Evolutoinary Computation Outstanding Paper Award

◆ “Pengcheng Scholar” (Adjunct Professor), Southern University of Science and Technology of China

(SUSTC), 2017 - 2018


Selected Publication

1. Xie, J., Mei, Y., Ernst, A.T., Li, X., and Song, A. (2018),"A Bi-level Optimization Model for Grouping Constrained Storage Location Assignment Problems", IEEE Transactions on Cybernetics, 48(1): 385 - 398, January 2018.

2. Islam, M.J., Li, X., Mei, Y., (2017), "A Time-Varying Transfer Function for Balancing Exploration and Exploitation ability of a Binary PSO", Applied Softcomputing, 59:182 - 196.

3. Omidvar, M., Yang, M., Mei, Y., Li, X., and Yao, X. (2017),"DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization", IEEE Transactions on Evolutionary Computation, 21(6): 929 - 942, December 2017.

4. Li, X., Epitropakis, M.G., Deb, K., and Engelbrecht, A. (2017), "Seeking Multiple Solutions: an Updated Survey on Niching Methods and Their Applications", IEEE Transactions on Evolutionary Computation, 21(4):518 - 538, August 2017.

5. Tang, K., Wang, J., Li, X., Yao, X., (2017), "A Scalable Approach to Capacitated Arc Routing Problems based on Hierarchical Decomposition", IEEE Transactions on Cybernetics, 47(11): 3928 - 3940, November, 2017.

6. Qi, Y., Yu, J., Li, X., Wei, Y., and Miao, Q. (2017), "Reservoir Flood Control Operation Using Multi-objective Evolutionary Algorithm with Decomposition and Preferences", Applied Soft Computing, 50:21 - 33, January 2017.

7. Mei, Y., Salim, F. and Li, X. (2016), "Efficient Meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem", European Journal of Operational Research, Volume 254, pp.443-457, 2016.

8. Liu, J., Mei, Y. and Li, X. (2016), "An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization", IEEE Transactions on Evolutionary Computation, 20(5): 666-681, October 2016.

9. Mei, Y., Omidvar, M., Li, X. and Yao, X. (2016), "A Competitive Divide-and-Conquer Algorithm for Unconstrained Large Scale Black-Box Optimization", ACM Transactions on Mathematical Software (TOMS), 42(2), Article 13, 24 pages, June 2016.

10. Omidvar, M.,Li, X. Mei, Y. Yao, X. (2014), "Cooperative Co-evolution with Differential Grouping for Large Scale Optimization", IEEE Transactions on Evolutionary Computation, 18(3): 378-393, June 2014 (2017 IEEE CIS "IEEE Transactions on Evolutoinary Computation Outstanding Paper Award").

11. Li, X. and Yao, X. (2012), "Cooperatively Coevolving Particle Swarms for Large Scale Optimization,'' IEEE Transactions on Evolutionary Computation, 16(2): 210-224, April 2012.

12. Carrese, R., Winarto, H., Li, X., Sobester, A. and Ebenezer, S. (2012), "A Comprehensive Preference-based Optimization Framework with Application to High-lift Aerodynamic Design". Engineering Optimization, Taylor & Francis, 44(10): 1209-1227.

13. Carrese, R., Sobester, A., Winarto, H., and Li, X. (2011), "Swarm heuristic for identifying preferred solutions in surrogate-based multiobjective engineering design", American Institute of Aeronautics and Astronautics Journal, 49(7): 1437- 1449, July 2011.

14. Li, X. (2010), "Niching without Niching Parameters: Particle Swarm Optimization Using a Ring Topology", IEEE Transactions on Evolutionary Computation, 14 (1): 150-169,February 2010 .

15. Blum, C. and Li, X. (2008). "Swarm Intelligence in Optimization", in Blum, C. and Merkle, D. (editors), Swarm Intelligence - Introduction and Applications, Springer, 2008, pp.43 - 85.

16. Parrott, D. and Li, X. (2006), "Locating and Tracking Multiple Dynamic Optima by a Particle Swarm Model Using Speciation", IEEE Transactions on Evolutionary Computation, 10(4):440-458, August 2006.


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