- Sun, Y., Li, X., Ernst, A. (2021), "Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems", IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5): 1746 - 1760, May 2021 (Source codes).
- Sun, Y., Ernst, A.T., Li, X. and Weiner, J. (2020), "Generalization of Machine Learning for Problem Reduction: a Case Study on Travelling Saleman Problems", OR Spectrum (published on 01/09/2020; Source codes).
- Kazimipour, B., Omidvar, N., Qin, A.K., Li, X., Yao, X. (2019), "Bandit-Based Cooperative Coevolution for Tackling Contribution Imbalance in Large-Scale Optimization Problems", Applied Softcomputing, 76: 265 - 281, March 2019.
- Qi, Y., Li, X., Yu, J. and Miao, Q. (2019), "User-preference based decomposition in MOEA/D without using an ideal point", Swarm and Evolutionary Computation, 44:597 - 611, February 2019.
- Ma, X. Li, X., Zhang, Q., Tang, K., Liang Z., Xie, W., Zhu, Z. (2019)," A Survey on Cooperative Co-evolutionary Algorithms", IEEE Transactions on Evolutionary Computation, 23(3): 421 - 441, June 2019.
- Li, X. and Clerc, M.,(2018), " Swarm Intelligence", in Handbook of Metaheuristics (3rd edition), Gendreau, Michel, Potvin, Jean-Yves (Eds.), International Series in Operations Research & Management Science, vol.272, Springer, Cham, pp.353 - 384, 2018.
- Tamassia, M., Zambetta, F., Raffe, W.L., Mueller, F.F., and Li, X. (2018), "Learning Options from Demonstrations: A Pac-Man Case Study", IEEE Transactions on Games, 10(1): 91 - 96, March 2018.
- 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.
- 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.
- 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.
- 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.
- Zheng, J., Yu, G., Zhu, Q., Li, X., and Zou, J. (2017),"On decomposition methods in interactive user-preference based optimization", Applied Soft Computing, 52: 952 - 973, March 2017.
- Tang, K., Wang, J., Li, X., Yao, X., (2016), "A Scalable Approach to Capacitated Arc Routing Problems based on Hierarchical Decomposition", IEEE Transactions on Cybernetics (accepted on 01/07/2016).
- Lee, G., Zambetta, F., Li, X., Paolini, A., (2016), "Utilising Reinforcement Learning to Develop Strategies for Driving Auditory Neural Implants", Journal of Neural Engineering 13(4):046027, 2016.
- Ghasemishabankareh, B., Li, X., Ozlen, M., (2016), "Cooperative coevolutionary differential evolution with improved augmented Lagrangian to solve constrained optimisation problems", Information Sciences, Volume 369, pp.441-456, 2016.
- Qi, Y., Bao, L., Ma, X., Miao, Q., Li, X. (2016), "Self-adaptive Multi-objective Evolutionary Algorithm based on Decomposition for Large-scale problems: A Case Study on Reservoir Flood Control Operation", Information Sciences, Volume 367 - 368, pp.529-549, 2016.
- 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.
- 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.
- Mei, Y., Li, X., and Yao, X. (2016), "On Investigation of Interdependence Between Sub-problems of the Travelling Thief Problem ", in Softcomputing, Springer, 20(1): 157--172, January 2016.
- Amini, I., Sanderson, M., Martinez, D. and Li, X. (2016), "Improving Patient Record Search: A Meta-data based Approach", Information Processing & Management, Elsevier, United Kingdom, vol. 52, no. 2, pp.258-272, 2016.
- 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.
- Qi, Y., Hou, Z. Li, H., Huang, J. and Li, X. (2015), "A Decomposition Based Memetic Algorithm for Multi-objective Vehicle Routing Problem with Time Windows", Computers & Operations Research, 62: 61 - 67 (2015).
- Omidvar, M., Li, X. and Tang, K. (2015), "Designing Benchmark Problems for Large-Scale Continuous Optimization", Information Sciences, Volume 316, pp.419-436.
- L. Wan, K. Tang, M. Li, Y. Zhong, A. K. Qin, (2015), "Collaborative Active and Semi-supervised Learning for Hyperspectral Remote Sensing Image Classification", IEEE Transactions on Geoscience and Remote Sensing, 53(5): 2384-2396, 2015.
- Mei, Y., Li, X. and Yao, X. (2016), "On Investigation of Interdependence Between Sub-problems of the Travelling Thief Problem" Softcomputing, 20(1): 157--172, January 2016.
- Raffe, W., Zambetta, F., Li, X. and Stanley, K. (2015), "An Integrated Approach to Personalized Procedural Map Generation using Evolutionary Algorithms", IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Issue 2, June 2015, pp.139-155.
- Bonyadi, M.R., Michalewicz, Z. and Li, X. (2014), "An Analysis of the Velocity Updating Rule of the Particle Swarm Optimization Algorithm", Journal of Heuristics, 20(4): 417 - 452, August 2014.
- Mei, Y., Li, X. and Yao, X. (2014), "Cooperative Co-evolution with Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems",
IEEE Transactions on Evolutionary Computation, 18(3): 435-449, June 2014 (source code in C).
- 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 (DG source code in Matlab,DG with CC framework, DECC-D,
DECC-DML)(2017 IEEE CIS "IEEE Transactions on Evolutionary Computation Outstanding Paper Award").
- Wong, G.,Chan, J.,Kingwell, B.,Leckie, C.,Meikle, P. (2014), "LICRE: unsupervised feature correlation reduction for lipidomics", Bioinformactics, 30, 2832 - 2833.
- Chan, J.,Lam, S.,Hayes, C. (2014), "Generalised blockmodelling of social and relational networks using evolutionary computing", Social Network Analysis and Mining, 4, 155-1 - 155-24.
- Y. Xiao, Z.-Y. Wang, J. Li, Z.-L. Yuan, A. K. Qin (2014), "Two-step beveled UWB printed monopole antenna with band-notch," International Journal of Antennas and Propagation, 2014.
- 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.
- S. J. Guo, S.-U. Guan, W. F. Li, K. L. Man, F. Liu and A. K. Qin (2013), "Input space partitioning for neural network learning", International Journal of Applied Evolutionary Computation, 4(2): 56-66, 2013.
- 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.
- P. Yu, A. K. Qin and D. A. Clausi (2012), "Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty", IEEE Transactions on Geoscience & Remote Sensing, 50(4): 1302-1317, 2012.
- 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.
- 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.
- A. K. Qin and D. A. Clausi (2010), "Multivariate image segmentation based on semantic region growing with adaptive edge penalty", IEEE Transactions on Image Processing, 19(8): 2157-2170, 2010.
- Qin, A.K., Huang, V.L. and Suganthan, P.N. (2009), "Differential evolution with strategy adaptation for global numerical optimization", IEEE Transactions on Evolutionary Computation, 13(2): 398- 417, 2009 (2012 IEEE CIS "IEEE Transactions on Evolutionary Computation Outstanding Paper Award")