Jing Liu is a Research Associate with the School of Engineering and Information Technology at UNSW Canberra. Her research interests include evolutionary computation, swarm intelligence, shepherding, robot mission planning, etc.
Building 15 Room G03
School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2610, AUSTRALIA
Publications
Media
Grants
Awards
Research Activities
Engagement
Teaching and Supervision
Book Chapters | 2021
Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5
Book Chapters | 2016
Niu B; Liu J; Chen J; Yi W, 2016, 'Neighborhood learning bacterial foraging optimization for solving multi-objective problems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 433 - 440, http://dx.doi.org/10.1007/978-3-319-41009-8_47
Book Chapters | 2016
Niu B; Liu J; Liu J; Yang C, 2016, 'Brain storm optimization for portfolio optimization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 416 - 423, http://dx.doi.org/10.1007/978-3-319-41009-8_45
Book Chapters | 2016
Niu B; Liu J; Zhang F; Yi W, 2016, 'A cooperative structure-redesigned-based bacterial foraging optimization with guided and stochastic movements', in Intelligent Computing Theories and Application, Springer International Publishing, pp. 918 - 927, http://dx.doi.org/10.1007/978-3-319-42294-7_82
Book Chapters | 2016
Tan LJ; Liu J; Yi WJ, 2016, 'Group Discussion Mechanism Based Particle Swarm Optimization', in Intelligent Computing Methodologies, Springer International Publishing, pp. 88 - 95, http://dx.doi.org/10.1007/978-3-319-42297-8_9
Book Chapters | 2016
Zhang F; Li L; Liu J; Chu X, 2016, 'Artificial bee colony optimization for yard truck scheduling and storage allocation problem', in Intelligent Computing Theories and Application, Springer International Publishing, pp. 908 - 917, http://dx.doi.org/10.1007/978-3-319-42294-7_81
Book Chapters | 2015
Gan X; Liu L; Niu B; Tan LJ; Zhang FF; Liu J, 2015, 'SRBFOs for solving the heterogeneous fixed fleet vehicle routing problem', in Intelligent Computing Theories and Methodologies, Springer International Publishing, pp. 725 - 732, http://dx.doi.org/10.1007/978-3-319-22186-1_72
Book Chapters | 2015
Niu B; Wang C; Liu J; Gan J; Yuan L, 2015, 'Improved bacterial foraging optimization algorithm with information communication mechanism for nurse scheduling', in Intelligent Computing Theories and Methodologies, Springer International Publishing, pp. 701 - 707, http://dx.doi.org/10.1007/978-3-319-22186-1_69
Book Chapters | 2014
Niu B; Xie T; Bi Y; Liu J, 2014, 'Bacterial colony optimization for integrated yard truck scheduling and storage allocation problem', in Intelligent Computing in Bioinformatics, Springer International Publishing, pp. 431 - 437, http://dx.doi.org/10.1007/978-3-319-09330-7_50
Journal articles | 2023
Liu J; Zhu H; Chen Y; Bao H, 2023, 'Path Following of an Underwater Snake-like Robot Exposed to Ocean Currents and Locomotion Efficiency Optimization Based on Multi-Strategy Improved Sparrow Search Algorithm', Journal of Marine Science and Engineering, 11, http://dx.doi.org/10.3390/jmse11061236
Journal articles | 2022
Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning', Expert Systems with Applications, 196, pp. 116605 - 116605, http://dx.doi.org/10.1016/j.eswa.2022.116605
Journal articles | 2022
Liu J; Anavatti S; Garratt M; Abbass HA, 2022, 'Multi-operator continuous ant colony optimisation for real world problems', Swarm and Evolutionary Computation, 69, pp. 100984 - 100984, http://dx.doi.org/10.1016/j.swevo.2021.100984
Journal articles | 2022
Liu J; Anavatti S; Garratt M; Tan KC; Abbass HA, 2022, 'A survey, taxonomy and progress evaluation of three decades of swarm optimisation', Artificial Intelligence Review, 55, pp. 3607 - 3725, http://dx.doi.org/10.1007/s10462-021-10095-z
Journal articles | 2021
Ben N; Qiqi D; Hong W; Jing L, 2021, 'Simplified bacterial foraging optimization with quorum sensing for global optimization', International Journal of Intelligent Systems, 36, pp. 2639 - 2679, http://dx.doi.org/10.1002/int.22396
Journal articles | 2019
Niu B; Liu J; Tan L, 2019, 'Multi-swarm cooperative multi-objective bacterial foraging optimisation', International Journal of Bio-Inspired Computation, 13, pp. 21 - 31, http://dx.doi.org/10.1504/IJBIC.2019.097724
Journal articles | 2019
Niu B; Tan L; Liu J; Liu J; Yi W; Wang H, 2019, 'Cooperative bacterial foraging optimization method for multi-objective multi-echelon supply chain optimization problem', Swarm and Evolutionary Computation, 49, pp. 87 - 101, http://dx.doi.org/10.1016/j.swevo.2019.05.003
Journal articles | 2018
Niu B; Liu J; Wu T; Chu X; Wang Z; Liu Y, 2018, 'Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15, pp. 1865 - 1876, http://dx.doi.org/10.1109/TCBB.2017.2742946
Journal articles | 2017
Niu B; Duan Q; Liu J; Tan L; Liu Y, 2017, 'A population-based clustering technique using particle swarm optimization and k-means', Natural Computing, 16, pp. 45 - 59, http://dx.doi.org/10.1007/s11047-016-9542-9
Conference Papers | 2022
Liu S; Xue S; Zhou Y; Wang W; Zhang D; Liu J; Zhou C; Yu K; Wang C, 2022, 'ANN-PSO Algorithm Based Signal Transmission Performance Coupling Analysis and Optimization for TSV', in Lecture Notes in Electrical Engineering, pp. 84 - 94, http://dx.doi.org/10.1007/978-981-19-1309-9_8
Conference Papers | 2021
Liu J; Hussein A; Anavatti S; Garratt M; Abbass HA, 2021, 'UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, IEEE, presented at 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 05 December 2021 - 07 December 2021, http://dx.doi.org/10.1109/SSCI50451.2021.9659847
Conference Papers | 2020
Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow
Conference Papers | 2019
Liu J; Anavatti S; Hussein Abbass MG, 2019, 'Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 2287 - 2294, http://dx.doi.org/10.1109/SSCI44817.2019.9002992
Conference Papers | 2016
Li X; Liu J; Zhang F, 2016, 'Different effects of provider recommendations and consumer reviews on consumers' shopping efficiency for different product types', in 2016 13th International Conference on Service Systems and Service Management, ICSSSM 2016, IEEE, presented at 2016 13th International Conference on Service Systems and Service Management (ICSSSM), 24 June 2016 - 26 June 2016, http://dx.doi.org/10.1109/ICSSSM.2016.7538521
Conference Papers | 2015
Niu B; Liu J; Bi Y; Xie T; Tan L, 2015, 'Improved bacterial foraging optimization algorithm with information communication mechanism', in Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014, IEEE, pp. 47 - 51, presented at 2014 Tenth International Conference on Computational Intelligence and Security (CIS), 15 November 2014 - 16 November 2014, http://dx.doi.org/10.1109/CIS.2014.106
Conference Papers | 2015
Yi Wang ; Ying Bi ; Ting Xie ; Jing Liu , 2015, 'Evaluation of the comprehensive strength of the listed companies in China's cultural media industry', in 2015 12th International Conference on Service Systems and Service Management (ICSSSM), IEEE, presented at 2015 12th International Conference on Service Systems and Service Management (ICSSSM), 22 June 2015 - 24 June 2015, http://dx.doi.org/10.1109/icsssm.2015.7170306