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Attack-defense Game Analysis of Interdependent Networks Based on Game Theory
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WANG Shuliang, SUN Jingya, BIAN Jiazhi, ZHANG Jianhua, DONG Qiqi, LI Junjing
Complex Systems and Complexity Science. 2024, 21 (2): 22-29.
DOI: 10.13306/j.1672-3813.2024.02.003
According to the complex correlation characteristics of the actual interdependent network and the important evaluation indicators in the network, five different coupling methods are proposed, and nine interdependent network models are established. Considering the information transmission, redistribution and cascading failures in the network, a cascading failure model based on betweenness artificial flow models is established. We based on the game theory, attack-defense game problems of critical infrastructure are analyzed from the perspective of complex network, and the robustness of various interdependent networks is analyzed. We discovered the preferences of game participants in the interdependent networks, providing decision support for the protection of infrastructure networks.
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Research on the Resistance and Early Warning of the Grain Stock MarketUnder Emergencies
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LIU Jiangang, CHEN Luxia
Complex Systems and Complexity Science. 2024, 21 (2): 52-59.
DOI: 10.13306/j.1672-3813.2024.02.007
In order to study the impact of different types of emergencies including COVID-19, July 20 Heavy rainstorm in Zhengzhou and variant strains of the new coronavirus attacked Shanghai in 2022 on the performance of food network security, the Grainger causal detection method was used to construct four different stages of food stock correlation network. Through the analysis of the network topology characteristics, node importance and anti-destruction performance in the three periods, it is found that in the process of facing the invasion of overall or local emergencies, the internal structure of the food-related network will be effectively adjusted with the degree of impact, and the nodes that occupy the leading role form a fast and effective response mode according to geographical factors, and the maintenance and protection of these important nodes of food supply is often the focus. The attack simulation results show that deliberate attacks are more persecutive than random attacks, and the food related networks in the second stage are disintegrated most rapidly, and the anti-destruction performance of the third and fourth stages is more unstable. Finally, the early warning effect of CUSUM control chart used in the grain stock market is also well reflected.
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Optimization of Multi-depot Half-open Cold Chain Logistics Distribution Path
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JIANG Yuyan, YIN Li, WANG Fuyu
Complex Systems and Complexity Science. 2024, 21 (2): 137-146.
DOI: 10.13306/j.1672-3813.2024.02.017
With the rapid development of the cold chain logistics industry, enterprises are paying more attention to the cost, quality of logistics services and carbon emissions generated by transportation. In order to solve this problem, a multi- depot half-open cold chain logistics routing optimization model is constructed, and various dynamic changes are integrated into the model. An improved NSGA-II algorithm is designed and the standard test function is used to prove that the algorithm has good convergence and diversity. The results show that, compared with the scheme without considering carbon emission, the distribution cost of the scheme with considering carbon emission increases by 19.00%, the transportation distance decreases by 5.16%, and the carbon emission cost decreases by 13.03%. Compared with the initial distribution scheme, the distribution cost of the real-time optimization scheme decreased by 29.78%, the carbon emission cost decreased by 23.19%, and the customer satisfaction increased by 14.49%. Compared with the single distribution center mode, the distribution cost of the multi-depot mode is reduced by 27.30%, the carbon emission cost is reduced by 48.89%, and the customer satisfaction is increased by 13.11%, which brings certain management enlightenment for cold chain logistics enterprises.
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Analysis of the Evolution Characteristics of Urban Expressway Traffic Oscillations
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HU Yanran, BING Qichun, ZHANG Weijian, SHEN Fuxin, GAO Peng, LIU Dongjie
Complex Systems and Complexity Science. 2024, 21 (2): 154-160.
DOI: 10.13306/j.1672-3813.2024.02.019
In order to extract the oscillations data more accurately, the evolution characteristics of traffic oscillations are further explored. First, the growth characteristics of the oscillation are analyzed by fitting the speed standard deviation of the oscillating vehicle using a single exponential decay function. Secondly, the short-term Fourier transform is used to extract the change of frequency intensity to track the acceleration and deceleration change points of the oscillation head car and the deceleration stage, so as to explore the propagation mechanism of the oscillation. The analysis results show that the standard deviation of the vehicle′s speed increases along the concave convoy during the oscillation. The initial stage of the oscillation shows the forerunner stage, this stage of the speed change is slow, and as the speed fluctuation increases, the oscillation growth is spread upstream. Affected by the randomness and instability of vehicles in the interweaving area, the oscillations in different lanes of the main line vary in duration, amplitude and intensity of the deceleration phase due to different vehicle behaviors.
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