【Basic Information】
Name：Deng Ding-Shan
Title：Lecturer
Date of Birth：1992/09
Email：deng-ding-shan@qq.com
【Personal Profile】
He graduated from Sichuan University, majoring in Mechanical Manufacturing and Automation, PHD. He has participated in several national projects and published 10 papers indexed by SCI or EI.
【Research Direction】
Intelligentoptimization, complex network, Safety assessment of pressure vessels.
【Main Achievements】
Paper works
[1]Deng D-S, Long W, Li Y-Y, Shi X-Q. Building Robust Closed-Loop Supply Networks against Malicious Attacks.Processes. 2021, 9(1):39.
[2]Deng D-S, Long W, Li Y-Y, Shi X-Q. Multipopulation genetic algorithms with different interaction structures to solve flexible job-shop scheduling problems: A network science perspective.Mathematical Problems in Engineering. 2020, 2020:1-14.
[3]Shi X-Q,Deng D-S, Long W, Li Y-Y, Yu X-H. Research on the robustness of interdependent supply networks with tunable parameters. Computers & Industrial Engineering.2021, 158:107431.
[4]Shi X-Q, Yuan X-J,Deng D-S. Research on supply network resilience considering the ripple effect with collaboration.International Journal of Production Research.2021(3):1-18.
[5]Shi X-Q，Li Y-Y，Deng D-S，Long W.Self-adaptive Multistage GA-IWO for Solving Flexible Job ShopScheduling Problem.Journal of Mechanical Engineering. 2019(6):10.
[6]Shi X-Q, Long W, Li Y-Y,Deng D-S. Robustness of interdependent supply chain networks against both functional and structural cascading failures.Physica A: Statistical Mechanics and its Applications.2022, 586.
[7]Shi X-Q, Long W, Li Y-Y,Deng D-S, Wei Y-L, Liu H-G.Research on supply network resilience considering random and targeted disruptions simultaneously.International Journal of Production Research. 2019, 58(1):1-19.
[8]Shi X-Q, Long W, Li Y-Y,Deng D-S,Wei Y-L. Research on the performance of multi-population genetic algorithms with different complex network structures.Soft Computing. 2020, 24(5).
[9]Shi X-Q, Long W, Li Y-Y,Deng D-S.Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems.PLOS ONE. 2020, 15.
[10]Shi X-Q, Long W, Li Y-Y, Wei Y-L,Deng D-S. Different Performances of Different Intelligent Algorithms for Solving FJSP: A Perspective of Structure.Computational Intelligence and Neuroscience. 2018, 2018(4):1-14.
Scientific research projects
Ministry of Industry and Information Technology, general project, [2017] 327, key technology development and system integration for green remanufacturing of engines (blades), participated.
National Natural Science Foundation of China, general project, 51875371, research on dynamic safety margin and residual life of pressure vessel defects based on the product of decay path and velocity, participated.
