## Selected Publications

- 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