中国科学院数学与系统科学研究院期刊网

29 May 2025, Volume 45 Issue 5
    

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  • Chuang ZHOU, Xugang ZHENG, Wenli XU
    Systems Engineering - Theory & Practice. 2025, 45(5): 1407-1427. https://doi.org/10.12011/SETP2023-2218
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    New urbanization construction is an essential driver for expanding domestic demand and a critical measure to facilitate internal circulation. This paper evaluates the impact of new urbanization pilot projects on the consumption levels of the rural migrant using data from the China Migrants Dynamic Survey. The study reveals that, compared to non-pilot areas, the consumption levels of rural migrants in pilot areas have significantly improved, and a series of robustness checks support this conclusion. Mechanism analysis indicates that the pilot projects have increased income, enhanced access to public services, and strengthened a sense of identity, all of which contribute to the increased consumption levels of rural migrants. The pilot projects have a more substantial effect in regions with low dialect diversity and more effectively raise the consumption levels of employed and intra-provincial migrants. Additionally, the pilot projects have boosted both daily and housing consumption of migrants, with a more pronounced effect in counties and county-level cities. The findings provide theoretical explanation and empirical evidence for establishing a long-term mechanism to expand domestic demand.
  • Fangcheng TANG, Shiling GU, Huan GUO, Lingjun HE
    Systems Engineering - Theory & Practice. 2025, 45(5): 1428-1445. https://doi.org/10.12011/SETP2023-1691
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    How digital platforms enable enterprises to achieve disruptive innovation is a key concern for managers in the context of the platform economy. Building on the literature on platform ecosystem and dynamic capability, we explore the effect of digital platform capabilities on disruptive innovation. Leveraging data from 209 Chinese high-tech enterprises that have either developed their digital platforms or integrated with existing ones, we find that digital platform capabilities have a significantly positive impact on disruptive innovation. We further show that structural flexibility and organizational unlearning partially mediate the relationship between digital platform capabilities and disruptive innovation. Specifically, digital platforms empower shaping structural flexibility, dismantling rigid organizational routines, and identifying emerging niche markets targeted for disruptive innovation on the one hand. On the other hand, they facilitate organizational unlearning, breaking away from existing knowledge path dependencies, and acquiring complementary knowledge required for disruptive innovation. Additionally, structural flexibility has a significant positive impact on organizational unlearning, and both factors serve as chain mediators between digital platform capabilities and disruptive innovation. This study deepens our understanding of the formation mechanisms behind disruptive innovation in high-tech enterprises within the platform economy framework. It addresses the practical question of which capabilities high-tech enterprises need to cultivate for disruptive innovation from a micro perspective. These insights provide valuable theoretical guidance for enterprises seeking to leverage digital platforms for achieving disruptive innovation in the context of ongoing digital transformation.
  • Youliang JIN, Tianhong SUN, Huixiang ZENG, Xu CHENG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1446-1461. https://doi.org/10.12011/SETP2023-1599
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    The digital transformation of government is a major initiative to improve the government's governance capacity in the new era, which provides a new idea to promote "tax governance by numbers". In order to explore the micro tax governance effect of government digital transformation, this paper takes the establishment of Big Data Bureau as a quasi-natural experiment, takes listed companies from 2008 to 2020 as the research samples, and uses the DID model to test the micro tax avoidance governance effect of government digital transformation based on the A-S model and information asymmetry theory. The results showed that government digital transformation can effectively inhibit corporate tax avoidance, and its inhibition is mainly generated through joint tax audits, optimization of business environment and government-enterprise cooperation and sharing. Further research shows that government service-oriented Big Data Bureaus and regions with stronger tax collection and management are more conducive to the micro tax governance effect of government digital transformation, and that the tax avoidance governance effect of digital government is more pronounced for highly digitized enterprises. This paper can extend and deepen the governance effect of government digital transformation and provide theoretical basis for the government to further promote digital transformation and create a fair tax environment.
  • Zhigao YI, Yifei LIU, Zhen PAN
    Systems Engineering - Theory & Practice. 2025, 45(5): 1462-1484. https://doi.org/10.12011/SETP2023-2067
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    Digital transformation is an important micro foundation of China's industrial upgrading, and the characteristics of CEO play a key role in the digital transformation of enterprises. Based on relevant data from listed companies spanning the years 2011 to 2021, this study constructs adaptive LASSO and QUBO models using machine learning to select trait variables. The goal is to grasp the main contradictions and systematically study the influence mechanism of some important CEO characteristics on digital transformation. According to the results of the machine learning model, this paper argues that the characteristics of old, female, financial experience, management experience are the main traits promoting digital transformation, and production experience is the main inhibiting trait. Mechanism study shows that age of CEO will affect his experience richness in a reversed U-shaped relationship and affect his risk tendency in a U-shaped relationship, this makes a reversed U-shaped relationship between CEO age and digital transformation. Moreover, financial experience and management experience promote digital transformation by alleviating information asymmetry and improving corporate governance, production experience increases the short-termism characteristic of the CEO, which inhibits digital transformation, gender will promote digital transformation by less risk tendency. In this paper, two machine learning models are used for variable selection, it provides a reference for solving the problem of subjective variable selection, this paper enriches the research on CEO traits and digital transformation and provides some enlightenment for the design and adjustment of company management.
  • Feiyang ZHAN, Jichang DONG, Jincheng FANG, Yangguang LI, Ying LIU
    Systems Engineering - Theory & Practice. 2025, 45(5): 1485-1496. https://doi.org/10.12011/SETP2023-2580
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    Strengthening compliance management is a key measurement for Chinese central state-owned enterprises to comprehensively implement the strategic deployment of governing the country in accordance with the law. After the quasi-natural experiment of the implementation of the "Guidelines for Compliance Management of central state-owned enterprises (Trial)'', based on the empirical analysis of the panel data of China's Shanghai and Shenzhen A-share listed central enterprises and local state-owned enterprises from 2016 to 2021, studied the time difference and individual difference before and after the implementation of the guidelines by using the duel-differential model, the aim of this article is to examines the impact of the implementation of the guidelines on the ESG performance of listed state-owned enterprises. The study found that the implementation of compliance guidelines significantly improved the ESG performance of listed companies of central enterprises, and the research conclusion remained valid after the robustness test such as placebo test was adopted. Moreover, the compliance guidelines of central enterprises mainly enhance the ESG rating of enterprises through external supervision, which is complementary to the company's internal governance capabilities, especially those with stronger internal governance capacity or weaker external supervision effects. This article provides micro-evidence for Chinese central state-owned enterprises to improve corporate governance and achieve high-quality development by strengthening compliance management construction. The study provides positive inspiration for listed companies to strengthen compliance management in order to optimize ESG performance.
  • Chen ZHU, Qingying LI, Xiaofeng WANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1497-1512. https://doi.org/10.12011/SETP2024-0152
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    A brand owner, which sources from an upstream supplier and sells to the downstream consumers, normally has private information about the supplier's corporate social responsibility (CSR) and has to decide whether or not to disclose such information to consumers. Consider the upstream supplier can be more responsible (h-type) or less responsible (l-type), facing different responsible violation risks, which impacts consumers' purchasing utility. The brand owner chooses whether or not to disclose its private information on the supplier type to the consumers. Under the disclosure scenario, the brand owner informs the consumers about the supplier's type. Under the non-disclosure scenarios, the brand owner signals the supplier's type to consumers through CSR efforts and the price. By comparing equilibrium outcomes under two information scenarios, it is shown that the brand owner sourcing from an h-type supplier prefers to disclose the information, but it may not necessarily invest higher CSR efforts depending on the brand owner's CSR cost coefficient and consumers' belief regarding the brand owner sourcing from the h-type supplier. Whereas, the brand owner sourcing from an l-type supplier will choose not to disclose information. This is because the brand owner can achieve higher profits from pooling and reducing the cost of investing in CSR efforts. As consumers' belief on the probability of sourcing from the h-type supplier increases, the brand owner's motivation to disclose the h-type supplier will be reduced, and it is more incentive to not disclose l-type supplier. In expectation, the brand owner has an ex-ante incentive to audit the supplier's CSR information in advance and disclose the information to consumers. Finally, this paper extends to examine the robustness of the results by considering the scenarios of myopic consumers and heterogeneous consumer valuation.
  • Qianyi HAO, Jiajia LIU, Zhe YANG, Shouyang WANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1513-1527. https://doi.org/10.12011/SETP2024-0502
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    In the context of the normalization of bidirectional fluctuations in the RMB exchange rate, the bank-firm relationship, as a crucial linkage mechanism between firms and financial institutions, plays an essential role in enhancing corporate exchange rate risk management capabilities. Based on relationship banking theory and the optimal currency area theory, this study empirically investigates the impact and mechanisms of the bank-firm relationship on corporate exchange rate exposure, using a sample of A-share listed companies from 2016 to 2022. Empirical evidence shows that the bank-firm relationship significantly reduces corporate exchange rate exposure, with this result remaining robust across various endogeneity and sensitivity tests. The mechanism suggests that the bank-firm relationship mitigates exchange rate exposure by facilitating the use of foreign exchange derivatives and foreign currency debt. Further analysis indicates that increased RMB internationalization weakens firms' dependence on the bank-firm relationship for exchange rate risk management. Heterogeneity analysis reveals that ownership structure and regional marketization levels significantly influence the bank-firm relationship's effectiveness in reducing exchange rate exposure. This study advances the literature on the economic consequences of the bank-firm relationship and corporate exchange rate risk, providing both theoretical and practical insights for enhancing corporate risk management and promoting financial services in the real economy.
  • Yaxi LI, Zihui YANG, Zhiying DAI
    Systems Engineering - Theory & Practice. 2025, 45(5): 1528-1552. https://doi.org/10.12011/SETP2023-2878
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    Recently, defaults in the global sovereign bond market have occurred successively. As the largest creditor country, China is likely to be significantly impacted by overseas debt market. However, due to the time-varying characteristics of debt risk spillover effect, the traditional linear analysis framework may not be applicable, and may even lead to significant deviations in the conclusion. In view of this, this paper adopts the newly developed nonlinear smooth-transition vector autoregression model (STVAR), to conduct research on sovereign debt risk contagion relationship in 16 countries (regions) including China's mainland and the United States. Specifically, based on commodity research bureau index, global economic policy uncertainty, CBOE implied volatility index, American excess bond premium, nominal dollar index and federal funds rate, this paper constructs asymmetric risk contagion matrix in different periods, analyzes the role of countries (regions) in debt risk contagion and the path of contagion, examines the influencing factors and mechanisms of sovereign debt risk transnational contagion. It is found that China's mainland has been the net risk importer in the sovereign debt risk contagion network for a long time, and the rising of inflation, the increase of economic policy uncertainty, the global market sentiment turns pessimistic, the boost of financial risks, the strengthening of the US dollar and the monetary policy turns hawkish will amplify the imported impact of global sovereign debt risk on China's mainland. On this basis, we put forward relevant policy suggestions to prevent imported debt risks from the perspectives of preventing debt risks at key nodes, monitoring the macroeconomic environment and controlling the transmission channels of sovereign debt risks.
  • Dahai LI, Huan WANG, Tao DING, Liang LIANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1553-1571. https://doi.org/10.12011/SETP2023-2592
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    To deal with the complex and ever-changing business environment, startups employ diversification techniques. As a result of these diversification techniques, entrepreneurs must put effort over many tracks. Diversification creates new tasks for corporate development, and these duties may be cooperative or competitive in nature. The impact of inter-task linkages on dynamic contract design and investor expected returns is investigated in this study. Furthermore, due to the disparities in agency structures amongst organizations, this study is separated into two cases: Multi-agent and single-agent. This study gives optimal dynamic contracts and investor expected profit equations under both agency structures using the martingale approach of continuous-time principal-agent theory, and explores the impact of varied task relationships on them. Under the multi-agent model, the entrepreneur's response function to incentives is independent of task relationships, whereas task relationships only affect the entrepreneur's response function under the single-agent model. There is a fixed ratio between the entrepreneur's multiple efforts in the single-agent model, and the ratio is governed by task linkages and cost considerations. Using the background of venture capital, this study builds a particular example of entrepreneurs who consistently exert utmost effort and discovers that conflict connections diminish expected returns while collaborative partnerships increase expected returns. When there is poor task collaboration or disagreement, investors prefer the multi-agent model. But as task collaboration improves, the single-agent approach is preferable.
  • Kejing CHEN, Han BAO, Liping ZHU, Xiong XIONG, Jie LIU
    Systems Engineering - Theory & Practice. 2025, 45(5): 1572-1588. https://doi.org/10.12011/SETP2023-1762
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    This paper uses textual analysis techniques to identify anti-takeover provisions existing in the company's articles of association, and focuses on the mechanism of anti-takeover provisions on company performance from the perspective of supply chain stability. It is found that anti-takeover provisions can significantly enhance firm performance, and this positive effect is particularly significant in firms with large customers or dependent suppliers. This suggests that anti-takeover provisions contribute to maintaining supply chain stability and thus enhance firm performance. The results of the mechanism of action test show that from the perspective of customers, anti-takeover provisions can help firms obtain more orders from large customers, which in turn generates scale effects and reduces selling expenses. From the supplier's perspective, anti-takeover provisions can help the company obtain raw materials from suppliers in a timely manner, which can reduce operating costs and increase the turnover rate of raw materials. This paper expands the literature on the economic consequences of anti-takeover provisions, which is important to understand the role of anti-takeover provisions in promoting supply chain stability.
  • Benjiang MA, Jian KANG, Yunsheng ZHANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1589-1599. https://doi.org/10.12011/SETP2023-1034
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    Supply chain disruptions caused by unexpected events lead to economic loss risks for supply chain node companies. Based on the demand-side risk of the supply chain, this paper portrays three scenarios: No business interruption insurance, separate retailer insurance and manufacturer-retailer joint insurance, and considers the endogenous problem of insurance rates to incorporate insurance companies into the supply chain system. The study investigates the risk transfer effect of business interruption insurance on insured subjects, the mechanism of business interruption insurance influencing the decision making of supply chain participants and the value realization process of business interruption insurance under different insurance decision scenarios. The study finds that: The joint insurance strategy of manufacturers and retailers has the best risk transfer effect in the supply chain and the strongest value-added effect of business interruption insurance; the insurance company has the boundary of insurance rate decision, and the insurance company can only maximize its own profit by setting the appropriate insurance rate level to achieve a win-win situation for manufacturers, retailers and insurance companies; the impact of retailers' overconfident behavior on supply chain participants' profit enhancement and value addition of business interruption insurance is closely related to the insurance strategy.
  • Anqi ZHU, Xihui WANG, Yu FAN
    Systems Engineering - Theory & Practice. 2025, 45(5): 1600-1620. https://doi.org/10.12011/SETP2023-1988
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    With the development of informatization and networking and the acceleration of urbanization, the breadth and depth of the impact of disasters have been deepened. While as an effective measure and essential guarantee in response for disaster, the inter-government coordination still has a lot of problems to address, such as unclear division of rights and responsibilities, blocked resource sharing, and unreasonable interest coordination. Based on these problems, this study proposes an emergency response strategy model considering information sharing and resource sharing according to evolutionary game theory, and analyzes the external factors (e.g., disaster characteristics, regional location) and internal factors (e.g., cooperation efficiency, rescue efficiency, interest coordination, etc.) that affect inter-government coordination from a micro perspective, as well as guiding effect of the construction of the vertical government information sharing platform on horizontal inter-government emergency coordination, so as to analyses and compare the strategy selection and evolutionary path of governments. The following results and policy suggestions can be obtained through the numerical analysis of case of the Guangdong-Hong Kong-Macao Greater Bay Area: 1) The information sharing platform promotes the efficiency of horizontal inter-governmental communication and coordination to some extent. 2) External factors have a significant impact on horizontal inter-governmental coordination. Besides, horizonal governments determine the coordination amount of relief supplies with overall consideration. 3) The form of interest distribution affects the horizontal inter-governmental coordination. Both sides need to comprehensively consider the disaster situation, relief benefits, costs and other factors to allocate supplies and benefits so that increase the possibility of collaboration. 4) The traceability of information sharing platforms can provide more reasonable incentives, subsidies and punishments for vertical governments, which promotes the horizontal inter-government division of power and responsibility and prevent from causing the failure of emergency management. It is suggested that the horizontal government should design an emergency plan and cooperation evaluation mechanism in the disaster preparation stage, formulate an appropriate benefit distribution mechanism based on internal and external factors, and conduct regular drills to improve the efficiency of cooperation. The vertical government should actively promote the construction of information sharing platform, use blockchain and other information technology to improve the sharing process and supervision system, and set up reasonable punishment and incentive mechanism, so as to promote the efficient response of disaster emergency under inter-government coordination.
  • Yongwei CHENG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1621-1631. https://doi.org/10.12011/SETP2023-2187
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    Energy storage for new energy vehicles (NEVs) is of great significance for power grid load shifting, ensuring power supply security, and promoting clean electricity consumption. The competitive charging demand function during the peak power period and the off-peak power period is first proposed, and then an energy storage game model including grid companies, charging companies and NEV users is established. Furthermore, the influence of key factors such as peak and valley electricity prices, charging service fees, energy storage participation, and peak power grid operating costs on energy storage decisions is further investigated. Finally, the incentive efficiency of three kinds of NEV energy storage policies including valley power subsidy policy under power price regulation, peak power taxation policy under power price regulation and marketization of power price is also comprehensively examined. The results demonstrate that: 1) The NEV energy storage will not change the charging service fee and the total power consumption of the system during the peak and valley periods, but it can effectively increase the charging amount and the benefits of all parties during the valley power period at night; 2) NEV users will obtain most of the NEV energy storage benefits, and the peak-to-valley price difference and peak power grid operating costs are the key factors driving all parties to participate in NEV energy storage; 3) the valley power subsidy policy is better than the peak electricity tax policy, and when the peak electricity price is high, continuing the electricity price regulatory policy will have a better incentive effect than the marketization of electricity prices. This study will be beneficial to improve China's NEV energy storage operation and incentive policies.
  • Yuan XIN, Bin SHEN
    Systems Engineering - Theory & Practice. 2025, 45(5): 1632-1643. https://doi.org/10.12011/SETP2023-2739
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    With the development of power exchange technology, China's new energy vehicle industry proposes battery as a service under the separation of vehicle and battery, which allows consumers to rent batteries on demand. Against this background, this paper constructs a Stackelberg model composed of the new energy vehicle manufacturer and the battery supplier. Two battery service models are considered: Not providing battery rental service (N) and providing battery rental service (B). The results show that, when the body price is relatively high (low), the new energy vehicle manufacturer should choose (not) to provide the battery rental service, but it is harmful (beneficial) to the battery supplier. Therefore, when the body price is moderate, the battery rental service can achieve a win-win outcome for the new energy vehicle manufacturer and the battery supplier. Meanwhile, we reveal the impact of the battery rental service on the decision of the new energy vehicle supply chain and analyze the impact of the battery life level and the body expectancy life on the win-win outcome's realization conditions. We also provide useful managerial implications for both the new energy vehicle supply chain and the overall industry.
  • Dongdong LI, Wenyao LIN, Weiwei GAO, Chenxuan SHANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1644-1659. https://doi.org/10.12011/SETP2023-1507
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    The lack of charging infrastructure has severely limited the large-scale promotion of electric vehicles in China, and how to design an effective incentive policy to promote investment in charging infrastructure is an urgent problem to be solved. By constructing a tripartite game model, this paper investigates the effects of two types of EV charging infrastructure subsidy policies in the presence of consumer range anxiety and discusses the choice of the optimal government policy for promoting electric vehicles. The results of the study show that: 1) Compared with the charging infrastructure subsidy policy, the charging service fee subsidy policy not only has a good effect on the promotion of EVs but also improves social welfare. Therefore, the optimal charging infrastructure subsidy policy for the government is the charging service fee subsidy.2) As consumers' range anxiety increases, the optimal charging service fee subsidy rate tends to decrease and then increase. As the externality coefficient of charging infrastructure increases, the optimal charging service fee subsidy rate should continue to increase. 3) The effect of the combination of charging infrastructure subsidy and charging service fee subsidy on the promotion of EVs is not better than that of the single charging service fee subsidy policy. 4) Under the circumstances of changes in charging infrastructure construction and operation, the existence of government budget constraints, the existence of competition from fuel vehicles, and changes in the type of consumer travel demand, the conclusions of the base model are still robust, and the charging service fee subsidy policy is still the optimal choice for the government. The results of this paper have important implications for the promotion of electric vehicles and the achievement of the "double carbon" goal of the transport sector.
  • Fengping WU, Wei WANG, Hui YU
    Systems Engineering - Theory & Practice. 2025, 45(5): 1660-1672. https://doi.org/10.12011/SETP2023-1589
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    Effective incentives are crucial to driving the reclaimed water market. Aiming at the reclaimed water use system composed of local governments, manufacturers, and industrial enterprises, a three-stage dynamic game model was constructed considering water rights trading and tiered subsidy to analyze the impact of the government incentive model (S mode) and dual government and market incentive model (SP mode) on the system optimal decision. The results showed that: 1) Tiered subsidies can increase the total demand for reclaimed water, manufacturer profits, and government benefits, and the water rights trading price can positively moderate this incentive effect of the subsidy policy. There is an optimal boundary between the two measures; whether the government implements subsidy policies depends on the water rights trading price limit. 2) Whether the enterprise receives high-level subsidies determines the impact of tiered subsidies on reclaimed water use decisions of individual industrial enterprises. And there is a threshold effect of the residual transfer ratio of water rights on promoting individual enterprises' reclaimed water use by the water rights trading price. 3) The government's preference for economic benefits has a better pull on demand for reclaimed water than its preference for resource and environmental benefits.
  • Ziyi CHEN, Kewei YANG, Yajie DOU, Jiang JIANG, Yuejin TAN
    Systems Engineering - Theory & Practice. 2025, 45(5): 1673-1686. https://doi.org/10.12011/SETP2023-1126
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    The annual schedules generation for military construction planning is to develop the annual construction schedule for the next year based on the actual situation and feedback in the current year. Based on deep reinforcement learning and multi-objective optimization theory, this paper proposes a dynamic multi-objective optimization algorithm improved by the Deep SubQ-Network. It is used to assist in the generation of annual schedules for military construction planning. First, from the process of implementing military construction planning and generating annual schedules, we analyze the dynamic characteristics of the problem; then, the mathematical model of iterative multi-objective optimization of annual construction schedules for projects is constructed, and the objective function is described in recursive form. Based on a typical deep reinforcement learning algorithm framework, we innovatively propose a SubQ network, which makes it possible to solve multi-objective optimization problems using deep reinforcement learning. We design an iterative optimization algorithm, that can gradually generate annual construction plans for each year; the illustrative part is based on simulated data and set up comparison experiments with other optimization methods to verify the feasibility and advantages of the model and algorithm in this paper.
  • Xinghai GUO, Zhiqian ZHANG, Lean YU, Hang YIN, Zheng JIANG
    Systems Engineering - Theory & Practice. 2025, 45(5): 1687-1700. https://doi.org/10.12011/SETP2023-2022
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    Taking naval battles as an example, due to the swift movement and constraints posed by distance and obstructions, radar and satellite systems face challenges in swiftly and accurately capturing the motion patterns of maritime targets, thereby impacting combat precision and response speed. To address this, a collaborative mission planning approach involving unmanned aerial vehicles (UAVs) and unmanned vessels is proposed. Initially, integrating motion data acquired by UAVs, a method for tracking and predicting maritime target trajectories is devised to accurately ascertain the real-time positions and forecast the subsequent motion states of dynamic targets. Subsequently, upon acquiring target information, a task planning model for multi-objective weapon-target allocation in naval unmanned vessel operations is established. Finally, considering the influence of mutation operators on weapon-target allocation, a deep Q-learning network-based artificial bee colony algorithm is proposed for resolution. Simulation results demonstrate that the proposed method accurately locates dynamic maritime targets, enhances tracking precision, and exhibits significant advantages in solving multi-objective optimization problems and scalability.
  • Tianyu LIU, Zhengqiang PAN, Zhijun CHENG, Xiaogeng CHU
    Systems Engineering - Theory & Practice. 2025, 45(5): 1701-1714. https://doi.org/10.12011/SETP2023-1715
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    This paper proposes a novel reliability solving algorithm for non-network reliability block diagram (RBD) with complex logical relationships, such as series, parallel, voting, and plus structure, as well as shared components. Motivated by the water flow in a pipe system, we call it water flow algorithm. Initially, some virtual nodes are introduced into the classic RBDs, and a new encoding scheme is designed to store RBD structure. Subsequently, three types of algorithms are designed, namely the node inflow and outflow probability computing, the search for branching nodes, and the reliability solving of systems with shared components. These algorithms constitute the water flow algorithm and enable the accurate solving of complex system reliability within approximate polynomial time. Some numerical examples and a real-world fleet task reliability evaluation case study indicate that in certain application scenarios, this method demonstrates advantages over traditional techniques such as binary decision diagrams (BDD) and Monte Carlo simulation in terms of efficiency, accuracy, and applicability.
  • Huiru WANG, Jiayi ZHU, Hongjun LI
    Systems Engineering - Theory & Practice. 2025, 45(5): 1715-1728. https://doi.org/10.12011/SETP2023-1865
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    Multi-view learning is an emerging artificial intelligence algorithm that focuses on utilizing data with multiple sets of different feature representations for machine learning. However, a major challenge faced by multi-view learning models is their high computational complexity. To improve the computational efficiency of multi-view learning models, this paper introduces the concept of "pseudo Lagrange multiplier" and analyzes the advanced properties of the multi-view twin hyper-sphere support vector machine (MvTHSVM) model. By combining the variational inequality to estimate the neighborhood of the hyper-sphere center and the value range of the radius, a safe screening rule for MvTHSVM (SSR-MvTHSVM) is proposed. This method can identify and remove redundant dual variables in advance, thereby effectively reducing the data size and training cost. Additionally, the obtained SSR-MvTHSVM has the property of "safety", which ensures that the removed dual variables are indeed redundant, resulting in a solution that is exactly consistent with MvTHSVM. The numerical experimental results on three artificial multi-view datasets and thirteen UCI datasets validate the effectiveness of the proposed SSR-MvTHSVM.