Selected Publications



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journalRecent Journal Publications


  1. Dong, H., B. Song, Z. Dong and P. Wang, “Multi-start Space Reduction (MSSR) Surrogate-based Global Optimization Method,” Structural & Multidisciplinary Opt., 54 (4), 907-926, 2016. 
  2. Luo, S., M. Jun and Z. Dong, “Numerical Simulation of Chip Ploughing Volume and Forces in 5-Axis CNC Micro-milling Using Flat-end Mills,” Procedia Manufacturing, 5, 348-361, 2016. 
  3. Luo, S., Z. Dong, and M. Jun, “Optimal Tool Orientation Generation and Chip Volume/Cutting Force Predictions for 5-axis CNC Machining of Curved Surfaces Using Flat-end Mills,” Computer-Aided Design and Applications, Vol 14 (3), 2017, pp. 331-342. 
  4. G. Wu and Z. Dong, “Design, Analysis and Modeling of a Novel Hybrid Powertrain System Based on Hybridized Automated Manual Transmission,” Mech Systems and Signal Processing, 93, 688-705, 2017. 
  5. Zhang, X., D. Yang, M. Luo and Z. Dong, “Load Profile Based Empirical Model for the Lifetime Prediction of an Automotive PEM Fuel Cell,” Int. Jl. of Hydrogen Energy, Vol. 24 (16), 2017, pp. 11868-11878. 
  6. Saad, A., A. Younis, Z. Dong, B. Buckham, C. Crawford, and M. Karimi, “A New Kriging-Bat Algorithm for Solving Computationally Expensive Black-box Global Optimization Problems,” Engineering Optimization, Vol., No 2, pp. 265–285, 2018. 
  7. Xiao, H., W. Pei, Z. Dong, L. Kong, and D. Wang, “App. and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks, Energies, Vol. 11, No. 85, 2018. 
  8. Xiao, H., W. Pei, Z. Dong, and L. Kong, “Bi-level Planning for Integrated Energy Systems Incorporating Demand Response and Energy Storage Under Uncertain Environments Using Novel Metamodel,” Journal of Power and Energy Systems, Vol. 4, No. 2, 2018. 
  9. Manouchehrinia1, B., S. Molloy, Z. Dong, A. Gulliver, and C. Gough, “Emission and Life-Cycle Cost Analysis of Hybrid and Pure Electric Propulsion Systems for Fishing Boats,” Journal of Ocean Technology, Vol. 13, No. 2, 2018. 
  10. Liu, J, H. Dong, T. Jin, L. Liu, B. Manouchehrinia and Z. Dong, “Optimization of Hybrid Energy Storage Systems for Vehicles with Dynamic On-Off Power Loads Using a Nested Formulation,” Energies, Vol. 11, 2699, 2018. 
  11. Ye, P., G. Pan, and Z. Dong, “Ensemble of Surrogate Based Global Optimization Methods Using Hierarchical Design Space Reduction,” Structural and Multidisciplinary Optimization, Vol. 58, pp. 537–554, 2018. 
  12. Dong, H., B. Song, P. Wang, Z. Dong, “Hybrid Surrogate-Based Optimization Using Space Reduction (HSOSR) for Expensive Black-Box Functions,” Applied Soft Computing, Vol. 64, pp. 641–655, 2018. 
  13. Xiao, H., Z. Dong, L. Kong, W. Pei, Z. Zhao, “Optimal Power Flow Using a Novel Metamodel Based Global Optimization Method,” Energy Procedia, Vol. 145, pp. 301-306, 2018. 
  14. Dong, H., B. Song, Z. Dong, and P. Wang, “SCGOSR: Surrogate-based Constrained Global Optimization Using Space Reduction, Applied Soft Computing, Vol. 65 pp. 462–477, 2018. 
  15. Dong, H., B. Song, P. Wang, and Z. Dong, “Surrogate-based Optimization with Clustering-Based Space Exploration for Expensive Multimodal Problems,” Structure and Multidisciplinary Optimization, Vol. 57, pp.1553–1577, 2018. 
  16. Xiao, H., W. Pei, Z. Dong, T. Pu, N. Chen, and L. Kong, “Reactive Power Optimization of Distribution Network with Distributed Generation Using Metamodel-based Global Optimization Method,” Proceedings of the Chinese Society for Electrical Engineering, Vol. 39, No. 19, 2018. 
  17. Saad, A., Z. Dong, B. Buckham, C. Crawford, A. Younis, and M. Karimi, “A New Kriging-Bat Algorithm for Solving Computationally Expensive Black-box Global Optimization Problems,” Engineering Optimization, Volume 51, No 2, pp. 265–285, 2019. 
  18. Dong, J., Z. Dong, and C. Crawford, “Real-Time Optimal Energy Management for Hybrid and Plug-in Hybrid Electric Vehicles,” Modern Env. Science & Eng., Vol.5, No.9, pp.849-853, 2019. 
  19. Feng, Y. and Z. Dong, “Optimal Control of Natural Gas Compression Engine Hybrid Electric Mining Trucks for Balanced Fuel Eff. & Overall Emission Impro.,” Energy, Vol 189, 2019. 
  20. Feng, Y. and Z. Dong, “Optimal Energy Management with Balanced Fuel Economy and Battery Life for Large Hybrid Electric Mining Truck,” Journal of Power Sources, 454 227948, 2020. 
  21. Chen, L., Y. Tong, and Z. Dong, “Li-Ion Battery Performance Degradation Modeling for the Optimal Design and Energy Management of Electrified Propulsion Systems,” Energies, 13, 1629, 2020. 
  22. Manouchehrinia, B., Z. Dong and T. A. Gulliver, “Well-to-Propeller Environmental Assessment of Natural Gas as a Marine Transportation Fuel in British Columbia, Canada,” Energy Reports, Vol. 6, pp. 802-812, 2020. 
  23. Feng, Y. and Z. Dong, “Integrated Design and Control Optimization of Fuel Cell Hybrid Mining Truck with Minimized Lifecycle Cost,” Applied Energy, 270, 115164, 2020. 
  24. Feng, Y. and Z. Dong, “Optimal Energy Management Strategy of Fuel-Cell Battery Hybrid Electric Mining Truck to Achieve Minimum Lifecycle Operation Costs,” International Journal of Energy Research, Vol. 44, pp. 10797–10808, 2020. 
  25. Dong, H. and Z. Dong, “Surrogate-assisted Grey Wolf Optimization for High-dimensional, Comp. Expensive Black-box Problems,” Swarm & Evolutionary Computation, Vol. 57, 2020. 
  26. Feng, Y., J. Yang and Z. Dong, “Fuel Selections for Electrified Vehicles: A Well-to-Wheel Analysis,” World Electric Vehicle Journal, 12, 151, 2021. 
  27. McIntyre, D., M. Rahimpour, Z. Dong, G. Tani, F. Miglianti, M. Viviani, and P. Oshkai, “Experimental Measurements and Numerical Simulations of Underwater Radiated Noise from a Model-Scale Propeller in Uniform Inflow,” Ocean Engineering, Vol. 255, 111409, 2022. 
  28. Chen, L., K. Xu, Z. Yang, Z. Yan and Z. Dong, “Optimal Design and Operation of Dual-ejector PEMFC Hydrogen Supply and Circulation System,” Energies, Vol. 15, 5427, 2022. 
  29. Pang, B., L. Chen and Z. Dong, “Data-driven Degradation Modeling and SOH Prediction of Li-ion Batteries,” Energies, 2022. 30. Feng, Y., Q. Liu, Y. Li. J. Yang and Z. Dong, “Energy Efficiency and CO2 Emission Comparison of Alternative Powertrain Solutions for Mining Haul Truck Using Integrated Design and Control Optimization,” Journal of Cleaner Production, 370 122568, 2022. 

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booksBook and Book Chapters


  1. Z. Dong (ed.), Artificial Intelligence in Optimal Design and Manufacturing, Prentice Hall, Englewood Cliffs, New Jersey, (ISBN 0-13-037540-3), 1994.
  2. Z. Dong and G. G. Wang, Global Optimization of Mechanical Design Based Upon Integrated Computer Models and Virtual Prototypes, A Chapter in Integration of Process Knowledge into Design Support Systems, H. Kals and F. Houten (Eds.), Kluwer Academic, 1999, pp. 309-320.
  3. I. S. Pop, G. W. Vickers, and Z. Dong, Machining Process Modeling for Intelligent Rough Machining of Sculptured Parts, Machining Impossible Shape, B.K. Choi (Ed.), CRC Press, 1999, pp. 119-128.
  4. H. Li, Z. Dong, and G.W. Vickers, "Optimal Tool Path Generation for 2 1/2 D Milling of Dies and Molds, Machining Impossible Shape, B. K. Choi (Ed.), CRC Press, 1999, pp. 272-278.

  5. D. Xue and Z. Dong, Integrated Concurrent Design Using A Quantitative Intelligent System, A Chapter in Concurrent Design of Products, Manufacturing Process and Systems, B. Wang (Ed.), Chapman Hall, 1998, pp. 99-132.
  6. Z. Dong and G. Wang, Automated Cost Modeling for Tolerance Synthesis Using Manufacturing Process Data, Knowledge Reasoning and Optimization, A Chapter in: Geometric Design Tolerancing, Kluwer Academic, H. A. ElMaraghy (Ed.), 1998, pp. 282-293.
  7. Z. Dong, "Chapter 9: Tolerance Synthesis by Manufacturing Cost Modeling and Design Optimization," Advanced Tolerancing Techniques, H. C. Zhang (Ed.), John Wiley & Sons, 1997, pp. 233-260.

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conferenceSelected Conference Publications (Refereed)


  1. Feng, Y., Z. Dong, J. Yang and R. Cheng, “Performance Modeling and Cost-benefit Analysis of Hybrid Electric Mining Trucks,” Proc. of the 12th IEEE/ASME Intl Conference on Mechatronic and Embedded Systems and Applications, Auckland, New Zealand, August 29-31, 2016. 
  2. Chen, L. and Z. Dong, “A Review of Lithium-ion Battery Degradation Mechanisms and Modeling Methods,” Proc. of the 26th CANCAM, Victoria, BC, Canada, May 29 - June 1, 2017. 
  3. Zhu, H. and Z. Dong, “A Review of PHEV Control, Energy Management and Their Real-Time Optimization,” Proc. of the 26th CANCAM, Victoria, BC, Canada, May 29 - Jun. 1, 2017. 
  4. Rahimpour, M., D. Iverson, D. W. McIntyre, G. Tani, F. Miglianti, M. Viviani, Z. Dong, and P. Oshkai, “Semi-Empirical Approach to Predicting Cavitation-Induced Acoustic Noise from Marine Propellers,” Proc. of 9th International Symposium on Fluid-Structure Interactions, Flow-Sound Interactions, Flow-Induced Vibration & Noise, July 8-11, 2018, Toronto, Canada. 
  5. Zhu, H. H and Z. Dong, “Modeling and Simulation of Hybrid Electric Ships with AC Power Bus – A Case Study,” Proceedings of 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA2018), July 2 - 4, 2018, Oulu, Finland. 
  6. Chen, L., H. Dong and Z. Dong, “Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach,” Proceedings of the ASME 2019 IDETC/CIE2019 Conferences, IDETC2019-97456, August 18-21, 2019, Anaheim, CA, USA. 
  7. Feng, Y., L. Chen and Z. Dong, “Modeling, Simulation and Assessment of a Hybrid Electric Ferry: Case Study for Mid-Size Ferry,” Proceedings of the ASME 2019 IDETC/CIE2019 Conferences, IDETC2019-97456, August 18-21, 2019, Anaheim, CA, USA. 
  8. Dong, J. Z. Dong and C. Crawford, “Real-Time Optimal Energy Management for Hybrid and Plug-In Hybrid Electric Vehicles,” Proceedings of the 8th Global Conference on Global Warming (GCGW-2019), April 22-25, 2019, Doha, Qatar. 
  9. McIntyre, D. W., M. Rahimpour, G. Tani, F. Miglianti, M. Viviani, Z. Dong and P. Oshkai, “Cavitation Noise from Marine Propellers: Experimental Measurements and URANS Solutions,” IUTAM Symposium on Fluid-Structure Interaction, Aug. 15, 2019, Montreal, Canada. 
  10. Dong, Z. “Modeling and Design Optimization of Green Ships Using Diesel, Natural Gas, and Fuel Cell Hybrid Electric, or Pure Electric Propulsions,” Proceedings of the 30th International Ocean and Polar Engineering Conference (ISOPE-2020), October 16-21, 2020, Shanghai, China. 
  11. Feng, Y., Z. Dong, J. Yang and R. Cheng, “Performance Modeling and Cost-benefit Analysis of Hybrid Electric Mining Trucks,” Proc. of the 12th IEEE/ASME Intl Conference on Mechatronic and Embedded Systems and Applications, Auckland, New Zealand, August 29-31, 2016. 
  12. Chen, L. and Z. Dong, “A Review of Lithium-ion Battery Degradation Mechanisms and Modeling Methods,” Proc. of the 26th CANCAM, Victoria, BC, Canada, May 29 - June 1, 2017. 3. Zhu, H. and Z. Dong, “A Review of PHEV Control, Energy Management and Their Real-Time Optimization,” Proc. of the 26th CANCAM, Victoria, BC, Canada, May 29-Jun 1, 2017.  
  13. Rahimpour, M., D. Iverson, D. W. McIntyre, G. Tani, F. Miglianti, M. Viviani, Z. Dong, and P. Oshkai, “Semi-Empirical Approach to Predicting Cavitation-Induced Acoustic Noise from Marine Propellers,” Proc. of 9th International Symposium on Fluid-Structure Interactions, Flow-Sound Interactions, Flow-Induced Vibration & Noise, July 8-11, 2018, Toronto, Canada. 
  14. Zhu, H. H and Z. Dong, “Modeling and Simulation of Hybrid Electric Ships with AC Power Bus – A Case Study,” Proceedings of 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA2018), July 2 - 4, 2018, Oulu, Finland. 
  15. Chen, L., H. Dong and Z. Dong, “Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach,” Proceedings of the ASME 2019 IDETC/CIE2019 Conferences, IDETC2019-97456, August 18-21, 2019, Anaheim, CA, USA. 
  16. Feng, Y., L. Chen and Z. Dong, “Modeling, Simulation and Assessment of a Hybrid Electric Ferry: Case Study for Mid-Size Ferry,” Proceedings of the ASME 2019 IDETC/CIE2019 Conferences, IDETC2019-97456, August 18-21, 2019, Anaheim, CA, USA. 
  17. Dong, J. Z. Dong and C. Crawford, “Real-Time Optimal Energy Management for Hybrid and Plug-In Hybrid Electric Vehicles,” Proceedings of the 8th Global Conference on Global Warming (GCGW-2019), April 22-25, 2019, Doha, Qatar. 
  18. McIntyre, D. W., M. Rahimpour, G. Tani, F. Miglianti, M. Viviani, Z. Dong and P. Oshkai, “Cavitation Noise from Marine Propellers: Experimental Measurements and URANS Solutions,” IUTAM Symposium on Fluid-Structure Interaction, Aug. 15, 2019, Montreal, Canada. 
  19. Dong, Z. “Modeling and Design Optimization of Green Ships Using Diesel, Natural Gas, and Fuel Cell Hybrid Electric, or Pure Electric Propulsions,” Proceedings of the 30th International Ocean and Polar Engineering Conference (ISOPE-2020), October 16-21, 2020, Shanghai, China.  

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patent Selected Patents


  1. Wu, G. and Z. Dong, “Hybrid Drive System with Multiple Drive Machines,” US Patent 10,369,877, Aug. 6, 2019. 
  2. Wu, G. and Z. Dong, “Electric Drive System with a Novel Dual-Clutch Transmission,” US Patent 10,844,935, Nov. 2020. 
  3. Liu, S., Z. Dong, M. Rahimpour and K. Andersen, “Integrated Marine Propulsion System Modeling and Configuration,” US Patent filed on Dec. 9, 2021, (ACH/Ach 2847-107229-01).  
  4. Dong, Z., "Fuel Cell Stack Assembly", International Patent Cooperation Treaty Patent WO #99/57781, Nov. 11, 1999.
  5. Dong, Z., "Fuel Cell Flow-Field Structure Formed by Layer Deposition", UK Patent GB 2 336 712 A, October 27, 1999.
  6. Dong, Z., "Stack Assembly Primarily for an Electrochemical Fuel Cell", UK Patent GB 2 336 937 A, November 3, 1999.
  7. Dong, Z, K. Kratschmar, D. Lu, M. Pastula, G. G. Wang, R. Zheng, W. Merida, R. Mackie and M. Perry, "Improved Oxidant Flowfield for Solid Polymer Electrolyte Fuel Cell", US Patent #09-749-495, filed on December 22, 2000.
  8. Dong, Z and Shen, J. "Solid Cage Fuel Cell Stack", US Patent #09/877457, filed on June 8, 2001.

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industryMajor Technical Reports


  1. Dong, Z., “Designing Green Vessels of the Future: Improvements of Energy Efficiency, Emission and Cavitation Noise Using Hybrid Electric Marine Propulsion,” Keynote Presentation, Electric and Hybrid Marine World Expo 2018, Amsterdam RAI, The Netherlands. 
  2. Dong, Z., Integrated and Data-Driven Modeling, Design and Control Optimization with Intelligent System for Clean Transportation. Keynote Presentation at the 15th IEEE/ASME Int. Conf. on Mechatronic/Embedded Systems, ASME IDETC/CIE2019, Anaheim, USA, 2019. 
  3. Dong, Z., Integrating Data-Driven Modeling, Design and Control Optimizations for Next Generation Clean Propulsion Systems of Vehicles and Marine Vessels., Distinguished Talk, The 4th IEEE Int. Conf. on Industrial Cyber-Physical Systems, Victoria, Canada, 2021. 
  4. Dong, Z., P. Oshkai, O. Barannyk, M. Rahimpour and K. Andersen, “Review of the Sources of Flow-Induced Ship Noises, Their Modeling and Mitigation Using Hybrid Electric Ship Propulsion System Modeling Tool,” Technical Report to Transport Canada, (70 Pages), 2016. 
  5. Dong, Z., Characterization of Canadian Marine Vessel Operational Profiles and Hybrid Electric Propulsion System Modeling Tool Improvement for GHG and Ship Noise Reduction, Technical Report to Transport Canada, T8156-160029, (479 Pages), 2018 (revision 2020). 

18 in total, not listed here due to space limit.


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old_bookEditorial Board of Scientific Journals and Others


    • International Journal of Concurrent Engineering: Research and Applications 

    • Chinese Journal of Mechanical Engineering (CJME) 

    • Smart Grid 

    • Fellow, Canadian Society of Mechanical Engineers (CSME) 

    • Distinguished Professor, Chinese Academy of Sciences (2016-18)


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old_bookOther Publications


Automated Concurrent Engineering Design and CAD/CAM Integration


  • Dong, Z. (Ed.), Artificial Intelligence in Optimal Design and Manufacturing, PTR Prentice Hall, Englewood Cliffs, NJ, 1994, ISBN 0-13-037540-3.
  • Dong, Z., "Design for Automated Manufacturing," Chapter 9 In: Concurrent Engineering: Automation, Tools, and Techniques, A. Kusiak (Ed.), John Wiley and Sons, 1992, pp. 101-124.
  • Dong, Z., "Automation of Tolerance Analysis and Synthesis in Conventional and Feature-Based CAD Environments," Int. Journal of System Automation, Research and Applications, Vol. 2, 1992, pp. 151-166.
  • Dong, Z., and Hu, W., "Optimal Process Sequence Identification and Optimal Process Tolerance Assignment in Computer-Aided Process Planning," Computers in Industry, Vol. 17, 1991, pp. 19-32.
  • Dong, Z. "Automated Generation of Minimum Cost Production Sequence," Chapter 6 In: Artificial Intelligence in Optimal Design and Manufacturing, Dong, Z. (Ed.), Prentice Hall, 1994, pp. 153-172.
  • Dong, Z., and Soom, A., "Some Applications of Artificial Intelligence Techniques to Automatic Tolerance Analysis and Synthesis," Chapter 5 In: Artificial Intelligence in Design, D. T. Pham (Ed.), Springer-Verlag, 1991, pp. 101-124.
  • Dong, Z., and Soom, A., "Automatic Optimal Tolerance Design for Related Dimension Chains," ASME Manufacturing Review, Vol. 3, No. 4, 1990, pp. 262-271.
  • Dong, Z., Hu, W., and Xue, D., "Tolerance Synthesis Using New and Hybrid Production Cost Tolerance Models," Journal of Engineering for Industry, Transactions of ASME, Vol. 116, No. 2, 1994, 199-206.
  • Xue, D., and Dong, Z., "Feature Modeling Incorporating Tolerance and Production Process for Concurrent Design," Concurrent Engineering: Research and Applications, Vol. 1, 1993, pp. 107-116.
  • Xue, D., and Dong, Z., "Developing A Quantitative Intelligent System for Implementing Concurrent Engineering Design," Journal of Intelligent Manufacturing, Vol. 5, 1994, pp. 251-267.
  • Dong, Z., "Combined Feature, Tolerance and Production Process Modeling - A Mechanism Supporting Design for Manufacturing," presented at ASME Winter Annual Meeting, Anaheim, Nov. 13-16, 1992.
  • Xue, D., and Dong, Z., "Integrated Conceurrent Design Using A Quantitatiae Intelligent System," A Chapter in Concurrent Design of Products, Manufactureing Process and System, B.Wang(Ed.),Chapman Hall,1997.
  • Dong, Z., "Chapter9:Tolerance Synthesis by Manufacturing Cost Modeling and Deign Optimization," Advanced Tolerancing Techniques, H.C.ZHang(Ed.),John Wiley&Sone,1997. ohn Wiley&Sone,1997.
  • Xue, D., Rousseau, J.H., and Dong, Z., "Joint Optimization of PerFormance and Cose in Integrrated Concurrent Design: Tolerance Syethesis Part," Journal of Engineering Design and Automation,Special Issue on Tolerancing and Metrology for Precision Manufacturing ,1997.
  • Xue, D., and Dong, Z., "Agent-based Knowledge Based and Database Representation for Integrated Concurrent Deign,"Proceedings of the International Workshop on Computer Supported Cooperative Work(CSCW)in Design,1996.
  • Dong, Z.,B.Tabarrok, and Qin,Z.,"An INtegrated Approach to Shape Design, Stress Analysis,and Cutting Pattern Generation of Tension Structures,"Robotics and Manufacturing-Recent Trends in Research , Education and Applications, Vol.4,M.Jamshidi et al.(Ed.),ASME Press,1992,pp.937-942.

Intelligent Rough Machining of Sculptured Parts


  • Dong, Z., Li, H., and Vickers, G.W., "Optimal Rough Machining of Curved Surfaces on A CNC Milling Machine," Journal of Engineering for Industry, Transactions of ASME, Vol. 115, 1993, pp. 424-431.
  • Vickers, G.W, Li, H., and Dong, Z., "Automated Rough Machining of Curved Surfaces," to appear in CSME Transaction Journal, (Also in Proceedings of the CSME Forum '92 - Transports 1992, pp. 593-597).

  • Li, H., Dong, Z., and Vickers, G.W., "Intelligent Rough Machining of Sculptured Parts -- Planning and Programming," Chapter 9 In: Artificial Intelligence in Optimal Design and Manufacturing, Dong, Z. (Ed.), Prentice Hall, Englewood Cliffs, NJ, 1994, pp. 235-258. Object/Workspace Modeling from Range Images and Motion Planning with Intelligent Robotic and Manufacturing Applications
  • Yao, H., Podhorodeski, R., and Dong, Z., "Object and Workspace Modeling Based on 3D Vision System," Chapter 12 In: Artificial Intelligence in Optimal Design and Manufacturing, Dong, Z. (Ed.), Prentice Hall, Englewood Cliffs, NJ, 1994, 285-310.
  • Yao, H., Dong, Z., and Podhorodeski, R., "Simulation of Range Finding Devices By Geometric Modeling," Proceedings of the 1991 ASME International Computers in Engineering Conference and Exposition, ASME. 1991, Vol. 1, pp. 327-332.
  • Dong, Z., and Yuan, J., "A Formulation for Collision Identification and Distance Calculation in Motion Planning Using Neural Networks,'' International Journal of Advanced Manufacturing Technology, Vol. 8, No. 2., 1993, pp. 227-235.

Intelligent Control and Scheduling of Production and Traffic Systems
Several publications on the planning and control of manufacturing systems have been listed in the previous sections. The following publications and reports are specifically on traffic control.


  • Zhou, W., Lee, D., Thomas, B. R., Hu, W., Miska, E., and Dong, Z., "An Automated Traffic Signal Design Expert System,'' Proceedings of the Second International OECD Workshop on Knowledge-Based Expert Systems in Transportation, 1992.
  • "Dynamic Traffic Control Using A Self-learning, Fuzzy-neural Intelligent System", contract report submitted to the Ministry of Transportation and Highways, British Columbia, 1993.
  • Dong, Z., B. Tabarrok, and Qin, Z., "An Integrated Approach to Shape Design, Stress Analysis, and Cutting Pattern Generation of Tension Structures," Robotics and Manufacturing - Recent Trends in Research, Education and Applications, Vol. 4, M. Jamshidi et al. (Eds.), ASME Press, 1992, pp. 937-942