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Miss Jing Liu
Research Associate

Miss Jing Liu

UNSW Canberra
School of Engineering & IT

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.
Phone
0412330680
E-mail
jing.liu5@unsw.edu.au
Location
Building 15 Room G03 School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2610, AUSTRALIA
  • Book Chapters | 2021
    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; 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
    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 | 2016
    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
    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
    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 | 2015
    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 | 2015
    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 | 2014
    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 | 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 | 2022
    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 | 2021
    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; 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 | 2019
    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 | 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
    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
    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
    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
    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
    Conference Papers | 2015
    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