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Fuqing Zhao 赵付青

Professor, Ph. D.

  
E-mail:
fzhao2000@hotmail.com
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School of Computer and Communication

Lanzhou University of Technology（兰州理工大学） Lanzhou, P. R. China


Fuqing Zhao is Full Professor in Lanzhou Univesity of Technology. He has been as the post Doctor with the State Key Laboratory of Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, China in 2009. He has authored two academic book and over 50 refereed papers. His current research interests include intelligent optimization and scheduling.

Research Interests

  • Artifical Intelligence and Computational Intelligence
  • Complex Optimization
  • Intelligent Application

    • Awards & Honors

    Prof. Activities

  • Acamedic Position
  • Conference Chair
  • Conference PC Memeber
  • Invited Keynote/Plenary Speaker
  • Organizer

    • Journal Papers (Selected: First/Corresponding Author)

    1. Fuqing Zhao(赵付青), S. Di, L. Wang, “A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem” , IEEE Transactions on Cybernetics, 2022.

    2. Fuqing Zhao(赵付青), M. Ru, L. Wang, “A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System” , IEEE Transactions on Cybernetics, 2021.

    3. Fuqing Zhao(赵付青), X. He, L. Wang, “A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem” , IEEE Transactions on Cybernetics, pp.1-13, 2021.

    4. Fuqing Zhao(赵付青), Z. Xu, L. Wang, N. Zhu, T. Xu and Jonrinaldi, “A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem” , IEEE Transactions on Industrial Informatics, 2022.

    5. Fuqing Zhao(赵付青), B. Zhu, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “An offline learning co-evolutionary algorithm with problem-specific knowledge” , Swarm and Evolutionary Computation, vol.75, 2022.

    6. Fuqing Zhao(赵付青), H. Bao, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times” , Engineering Applications of Artificial Intelligence, vol.116, 2022.

    7. Fuqing Zhao(赵付青), H. Bao, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism” , Knowledge-Based Systems, vol.246, 2022.

    8. Fuqing Zhao(赵付青), S. Di, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion” , Engineering Applications of Artificial Intelligence, vol.116, 2022.

    9. Fuqing Zhao(赵付青), G. Zhou, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism” , Expert Systems with Applications, vol.203, 2022.

    10. Fuqing Zhao(赵付青), X. Hu, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem” , International Journal of Production Research, 2022.

    11. H. Liu, Fuqing Zhao(赵付青) (Corresponding Author), L. Wang, J. Cao, J. Tang, and Jonrinaldi, “An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time” , Applied Intelligence, 2022.

    12. T. Xu, Fuqing Zhao(赵付青) (Corresponding Author), J. Tang, S. Du, and Jonrinaldi, “A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism” , Applied Intelligence, 2022.

    13. N. Zhu, Fuqing Zhao(赵付青) (Corresponding Author), L. Wang, R. Ding, T. Xu, and Jonrinaldi, “A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows” , Expert Systems with Applications, vol.198, 2022.

    14. Fuqing Zhao(赵付青), J. Zhao, L. Wang, and J. Tang, “An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem” , Applied Soft Computing Journal, 2021.

    15. Fuqing Zhao(赵付青), L. Zhao, L. Wang, and H. Song, “A collaborative LSHADE algorithm with comprehensive learning mechanism” , Applied Soft Computing Journal, vol. 96, 2022.

    16. Fuqing Zhao(赵付青), L. Zhang, Y. Zhang, W. Ma, C. Zhang, and H. Song, “A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion” , Expert Systems with Applications, vol. 146, 2022.

    17. Fuqing Zhao(赵付青), X. Hu, L. Wang, J. Zhao, J. Tang, and Jonrinaldi, “A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism” , Knowledge-Based Systems, vol. 235, 2022.

    18. Fuqing Zhao(赵付青), X. Hu, L. Wang, T. Xu, N. Zhu and Jonrinaldi, “A brain storm optimization algorithm with feature information knowledge and learning mechanism” , Applied Intelligence, 2022.

    19. Fuqing Zhao(赵付青), D. Shao, L. Wang, T. Xu, N. Zhu, and Jonrinaldi, “An Effective Water Wave Optimization Algorithm with Problem-Specific Knowledge for the Distributed Assembly Blocking Flow-Shop Scheduling Problem” , Knowledge-Based Systems, 2022.

    20. Fuqing Zhao(赵付青), R. Ding, L. Wang, J. Cao, and J. Tang, “A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism” , Expert Systems with Applications, vol.183,2021.

    21. Fuqing Zhao(赵付青), L. Zhao, L. Wang, and H. Song, “An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion” , Expert Systems with Applications, vol.160, 2020.

    22. Fuqing Zhao(赵付青), X. Hu, L. Wang, and Z. Li, “A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem” , Complex & Intelligent Systems, 2021, vol.8, no.1, pp.141-161, 2021.

    23. Y. Zuo, Fuqing Zhao(赵付青) (Corresponding Author), Z. Li, “A Knowledge-Based Differential Covariance Matrix Adaptation Cooperative Algorithm” , Expert Systems with Applications, 2021.

    24. Fuqing Zhao(赵付青), J. Zhao, L. Wang, J. Cao, and J. Tang, “A hierarchical knowledge guided backtracking search algorithm with self-learning strategy” , Engineering Applications of Artificial Intelligence, vol. 102, April. 2021.

    25. Fuqing Zhao(赵付青), H. Zhang, L. Wang, R. Ma, T. Xu, N. Zhu, and Jonrinaldi, “A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism” , Engineering Applications of Artificial Intelligence, 2022.

    26. Fuqing Zhao(赵付青), D. Shao, L. Wang, T. Xu, N. Zhu, and Jonrinaldi, “An Ensemble Discrete Water Wave Optimization Algorithm for the Blocking Flow-Shop Scheduling Problem with Makespan Criterion” , Applied Intelligence, 2022.

    27. Fuqing Zhao(赵付青), H. Bao, L. Wang, X. He, and Jonrinaldi, “A Hybrid Cooperative Differential Evolution Assisted by CMA-ES with Local Search Mechanism” , Neural Computing & Application, 2022.

    28. Fuqing Zhao(赵付青), L. Zhang, J. Cao, and J. Tang, “A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem” , Computers and Industrial Engineering, vol. 153, Dec. 2020.

    29. Fuqing Zhao(赵付青), X. He, Y. Zhang, W. Lei, W. Ma, C. Zhang, and H. Song, “A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems” , Applied Intelligence, vol. 50, no. 1, pp. 87-100, 2020.

    30. Fuqing Zhao(赵付青), L. Zhang, Y. Zhang, W. Ma, C. Zhang, and H. Song, “An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning” , Connection Science, vol. 32, no. 2, pp. 132-161, 2020.

    31. Fuqing Zhao(赵付青), S. Du, Y. Zhang, W. Ma, and H. Song, “Hybrid biogeography-based optimization with enhanced mutation and CMA-ES for global optimization problem” , Service Oriented Computing and Applications, vol. 14, no. 1, pp. 65-73, 2020.

    32. Fuqing Zhao(赵付青), H. Liu, Y. Zhang, W. Ma, and C. Zhang, “A discrete Water Wave Optimization algorithm for no-wait flow shop scheduling problem” , Expert Systems with Applications, vol. 91, pp. 347-363, Jan 2018.

    33. Fuqing Zhao(赵付青), Y. Liu, Y. Zhang, W. Ma, and C. Zhang, “A hybrid harmony search algorithm with efficient job sequence scheme and variable neighborhood search for the permutation flow shop scheduling problems” , Engineering Applications of Artificial Intelligence, vol. 65, pp. 178-199, 2017.

    34. Fuqing Zhao(赵付青), S. Qin, Y. Zhang, W. Ma, C. Zhang, and H. Song, “A two-stage differential biogeography-based optimization algorithm and its performance analysis” , Expert Systems with Applications, vol. 115, pp. 329-345, Jan 2019.

    35. Fuqing Zhao(赵付青), F. Xue, Y. Zhang, W. Ma, C. Zhang, and H. Song, “A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution” , Expert Systems with Applications, vol. 113, pp. 515-530, Dec. 2018.

    36. Fuqing Zhao(赵付青), X. He, G. Yang, W. Ma, C. Zhang, and H. Song, “A hybrid iterated local search algorithm with adaptive perturbation mechanism by success-history based parameter adaptation for differential evolution (SHADE)” , Engineering Optimization, 2019.

    37. Fuqing Zhao(赵付青), S. Qin, G. Yang, W. Ma, C. Zhang, and H. Song, “A factorial based particle swarm optimization with a population adaptation mechanism for the no-wait flow shop scheduling problem with the makespan objective” , Expert Systems with Applications, vol. 126, pp. 41-53, Jul. 2019.

    38. Fuqing Zhao(赵付青), S. Qin, Y. Zhang, W. Ma, C. Zhang, and H. Song, “A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem” , Expert Systems with Applications, vol. 126, pp. 321-339, Jul. 2019.

    39. Fuqing Zhao(赵付青), G. Yang, and Y. Zhang, “A Novel Hybrid Combination Optimization Algorithm Based on Search Area Segmentation and Fast Fourier Transform” , Engineering optimization, 2018.

    40. Fuqing Zhao(赵付青), L. Zhang, H. Liu, Y. Zhang, W. Ma, and C. Zhang, “An improved water wave optimization algorithm with the single wave mechanism for the no-wait flow-shop scheduling problem” , Engineering Optimization, 2018.

    41. Fuqing Zhao(赵付青), Z. Chen, and C. Zhang, “An improved MOEA/D for multi-objective job shop scheduling problem” , International Journal of Computer Integrated Manufacturing, vol.30, no. 6, pp. 616-640, 2017.

    42. Fuqing Zhao(赵付青), Z. Shao, Wang J, and Zhang C, “A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution” , Computational & Applied Mathematics, vol. 36, no. 1, pp. 433-458, 2017.

    43. Fuqing Zhao(赵付青), Z. Shao, J. Wang, and C. Zhang, “A hybrid differential evolution and estimation of distribution algorithm based on neighbourhood search for job shop scheduling problems” , International Journal of Production Research, vol.54, no. 4, pp. 1039-1060,2016.

    44. Fuqing Zhao(赵付青), Y. Liu, Z. Shao, X. Jiang, C. Zhang, and J. Wang, “A chaotic local search based bacterial foraging algorithm and its application to a permutation flow-shop scheduling problem” , International Journal of Computer Integrated Manufacturing, vol. 29, no. 9, pp. 962-981, 2016.

    45. Fuqing Zhao(赵付青), Y. Liu, C. Zhang, and J. Wang, “A self-adaptive harmony PSO search algorithm and its performance analysis” , Expert Systems with Applications, vol. 42, no. 21, pp. 7436-7455, 2015.

    46. Fuqing Zhao(赵付青), J. Zhang, J. Wang, and C. Zhang, “An Improved Shuffled Complex Evolution Algorithm with Sequence Mapping Mechanism for Job Shop Scheduling Problems” , Expert Systems with Applications, vol. 27, no. 8, pp. 3953-3966, May. 2015.

    47. Fuqing Zhao(赵付青), J. Zhang, J. Wang, and C. Zhang, “A shuffled complex evolution algorithm with opposition-based learning for a permutation flow shop scheduling problem” , International Journal of Computer Integrated Manufacturing, vol. 28, no. 11, pp. 1220-1235, 2015.

    48. Fuqing Zhao(赵付青), X. Jiang, C. Zhang, and J.Wang, “A chemotaxis-enhanced bacterial foraging algorithm and its application in job shop scheduling problem” , International Journal of Computer Integrated Manufacturing, vol. 28, no. 10, pp. 1106-1121, 2015.

    49. Fuqing Zhao(赵付青), Z. Shao, R. Wang, C. Zhang, and J. Wang, “A hybrid EDA with Chaotic DE algorithm and its performance analysis” , Journal of Computational Information Systems, vol. 11, no. 4, pp. 1505-1512, 2015.

    50. Fuqing Zhao(赵付青), Z. Chen, C. Zhang, and J. Wang, “A modified MOEA/D with adaptive mutation mechanism for multi-objective job shop scheduling problem” , Journal of Computational Information Systems, vol.11, no. 8, pp. 2833-2840, 2015.

    51. Fuqing Zhao(赵付青), Z. Liu, C. Zhang, and J. Wang, “A double-population algorithm based on NSGA-II” , Journal of Computational Information Systems, vol. 11, no. 13, pp. 4837-4844, 2015.

    52. Fuqing Zhao(赵付青), J. Tang, J. Wang, and J. Jonrinaldi, “An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem” , Computers and Operations Research, vol. 45, pp. 38-50, 2014.

    53. Fuqing Zhao(赵付青), J. Tang, and J. Wang, “An Improved Particle Swarm Optimization with a Linear Decreasing Disturbance Term (LDPSO) for Flow Shop Scheduling with Limited Buffers” , International Journal of Computer Integrated Manufacturing, May. 2014.

    54. Fuqing Zhao(赵付青), X. Jiang, and J. Wang, “An activity improved bacterial foraging optimization and its performance analysis” , Journal of Computational Information Systems, vol. 9, no. 18, pp. 7397-7405, 2013.

    55. Fuqing Zhao(赵付青), J. Zhang, “An individual evolution strategy based Shuffled Complex Evolution (SCE) algorithm and its global convergence analysis” , Journal of Computational Information Systems, vol. 9, no. 1, pp. 215-222, 2013.

    56. Fuqing Zhao(赵付青), Q. Zhao, “A hybrid flow shop scheduling model based on queuing theory and its performance analysis” , Journal of Computational Information Systems, vol. 9, no. 1, pp. 249-256, 2013.

    57. Fuqing Zhao(赵付青), Q. Zhao, and J. Wang, “Repairable queuing model analysis on a manufacturing cell” , Journal of Computational Information Systems, vol. 9, no. 18, pp. 7485-7492, 2013.

    58. Fuqing Zhao(赵付青), J. Tang, and J. Wang, “Application of PSO with Different Typical Neighbor Structure to Complex Job Shop Scheduling Problem” , Applied Mathematics & Information Sciences, vol. 7, no. 1, pp.139-143, 2013.

    59. Fuqing Zhao(赵付青), M. Huo, and W. Ma, “A memetic differential evolution algorithm with adaptive mutation operator. Research Journal of Applied Sciences” , Engineering and Technology, vol. 4, no. 19, pp. 3687-3691, 2012.

    60. Fuqing Zhao(赵付青), Z. Zhang, and W. Ma, “The E-pareto archived evolutionary strategy (E-PAES) for multi-objective problem” , Journal of Computational Information Systems, vol. 8, no. 20, 2012.

    61. Fuqing Zhao(赵付青), Q. Zhao, “Queuing network analysis on hybrid flow shop scheduling” , Research Journal of Applied Sciences, vol. 4, no. 22, pp. 4678-4684, 2012.

    62. Fuqing Zhao(赵付青), J. Zhang, “An improved Shuffled complex evolution algorithm and its performance analysis” , Journal of Computational Information Systems, vol. 8, no. 20, pp. 8495-8502, 2012.

    63. Fuqing Zhao(赵付青), J. Tang, and Y. Yang, “A new approach based on Ant Colony Optimization (ACO) to determine the supply chain (SC) design for a product mix” , Journal of Computers, vol. 7, no. 3, 2012.

    64. Fuqing Zhao(赵付青), Y. Zuo, “A reactive prediction method for dynamic job scheduling problem” , Journal of Computational Information Systems, vol. 8, no. 20, pp. 8487-8494, 2012.

    65. Fuqing Zhao(赵付青), M. Huo, “An improved self-adaptive memetic differential evolution (DE) algorithm” , Journal of Information and Computational Science, vol. 9, no. 15, pp. 4321-4328, 2012.

    66. Fuqing Zhao(赵付青), J. Wang, J. Wang, and J. Jonrinaldi, “A Dynamic Rescheduling Model with Multi-Agent System and Its Solution Method” , Journal of Mechanical Engineering, vol. 58, no. 2, 2012.

    67. Fuqing Zhao(赵付青), J. Tang, and J. Zou, Jonrinaldi, “An Effective Hybrid Particle Swarm Optimization with Decline Disturbance Index for Expanded Job-shop Scheduling Problem (EJSSP)” , Electrical Review, vol. 88, no. 1B, pp. 34-38, 2012.

    68. Fuqing Zhao(赵付青), J. Tang, “A memetic algorithm combined particle swarm optimization with simulated annealing and its application on multiprocessor scheduling problem” , Electrical Review, vol. 88, no. 11, pp. 292-296, 2012.

    69. Fuqing Zhao(赵付青), J. Tang, J. Wang, and C. Wei, “An Improved PSO Algorithm with Decline Disturbance Index” , Journal of computers, vol. 6, no. 4, pp. 691-697,2011.

    70. Fuqing Zhao(赵付青), C. Wei, J. Wang, and J. Tang, “An Automated X-corner Detection Algorithm(AXDA)” , Journal of Software, vol. 6, no. 5, pp. 791-797, 2011.

    71. Fuqing Zhao(赵付青), J. Wang, and J. Tang, “Research on Dynamic Rescheduling Program Base On Improved Contract Net Protocol” , Journal of Software, vol. 6, no. 5, pp. 798-805, 2011.

    72. Fuqing Zhao(赵付青), Y. Hong, and D. Yu, “A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems” , International Journal of Computer Integrated Manufacturing, vol. 23, no. 1, 2010.

    73. Fuqing Zhao(赵付青), S. Di, J. Cao, J. Tang, and Jonrinaldi, “A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems” , Complex Syst. Model. Simul, vol. 1, no. 2, pp. 91-108, 2021.

    74. 赵付青, 张建林, “基于改进SCE算法的Job Shop调度方法研究” , 西北工业大学学报, 2014, 32(1): 152-157.

    Conference Papers (Selected: First/Corresponding Author)

    1. Fuqing Zhao(赵付青), Q. Wang, and H. Zhang, “A Comprehensive Learning Moth-Flame Optimization with Low Discrepancy Sequence” , 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design , 2022.

    2. Fuqing Zhao(赵付青), H. Bao, and H. Liu, “An Orthogonal Learning Design Whale Optimization Algorithm with Clustering Mechanism” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 727-732, 2021.

    3. Fuqing Zhao(赵付青), R. Ding, J. Tang, and H. Liu, “A Novel Fruit Fly Optimization Algorithm with Vision Scanning Search and Extensive Learning Mechanism” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 733-738, 2021.

    4. Fuqing Zhao(赵付青), J. Zhao, X. Hu, Y. Zhang, and W. Ma, “Backtracking Search Algorithm based on Knowledge of Different Populations for Continuous Optimization Problems” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 90-95, 2021.

    5. Fuqing Zhao(赵付青), X. Hu, J. Zhao, and H. Liu, “Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 679-683, 2021.

    6. Fuqing Zhao(赵付青), R. Ma, J. Tang, Y. Zhang, and W. Ma, “A Novel Surrogate-guided Jaya Algorithm for the Continuous Numerical Optimization Problems” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 96-101, 2021.

    7. Fuqing Zhao(赵付青), S. Du, J. Tang, Y. Zhang, and W. Ma, “An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure” , 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, pp. 85-89, 2021.

    8. Fuqing Zhao(赵付青), G. Yang, Y. Zhang, W. Ma, C. Zhang, and H. Song, “The Convergence and Optimization Performance of the Simplified Artificial Fish School Algorithm” , 2018 5th International Conference on Electrical & Electronics Engineering and Computer Science, 2018.

    9. Fuqing Zhao(赵付青), X. He, W. Ma, J. Zhang, and C. Zhang, “Dynamic Markov-based Queuing Models and Strategies with Heterogeneous Processing Capabilities to Optimize Machine Utilization” , 2018 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, May. 2018, pp. 224-228.

    10. Fuqing Zhao(赵付青), L. Huan, Y. Zhang, W. Nma, and C. Zhang, “A Novel Multi-Objective Optimization Algorithm Based on Differential Evolution and NSGA-II” , 2018 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, pp. 116-121, May. 2018.

    11. Fuqing Zhao(赵付青), Li N, “Flow time and tardiness based on new scheduling rules for dynamic shop scheduling with machine breakdown” , 2014 International Conference on Mechatronics Engineering and Computing Technology, pp. 4412-4416, 2014.

    12. Fuqing Zhao(赵付青), J. Zou, and Y. Yang, “A hybrid approach based on Artificial Neural Network(ANN) and Differential Evolution(DE) for job-shop scheduling problem” , 2010 International Conference on Advanced Mechanical Engineering, vols. 26-28, pp. 754-757, 2010.

    13. Fuqing Zhao(赵付青),Y. Yang, “Resource allocation problem in manufacturing grid based on JADE” , 2010 International Conference on Advanced Mechanical Engineering, vols.26-28, pp. 710-713, 2010.

    14. Fuqing Zhao(赵付青), J. Zou, and S. Sheng, “A Hybrid Algorithm for Task Assignment Problem in Holonic Manufacturing System” , International Conference on Information Technology for Manufacturing Systems, vols. 20-23, pp. 1060-1065, 2010.

    15. Fuqing Zhao(赵付青), J. Zou, and S. Sheng, “A Hybrid Pso and Shuffled Complex Evolution Algorithm for Order Assignment Problem in Holonic Manufacturing System” , 2009 International Conference on Manufacturing Science and Engineering, vols.97-101, pp. 2213-2216, 2010,

    Book Chapter

    Authorized Patents

    Technique Books