Complexity最新文献_第5页

A Novel Multiobjective Decision-Making Model to Design a Resilient-Circular Agricultural Waste Management Network Under Uncertainty 不确定条件下弹性循环农业废弃物管理网络的多目标决策模型

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-22 DOI: 10.1155/cplx/9523341

Yegane Eftekhari, Mohammad Mahdi Paydar, Sina Nayeri, Erfan Babaee Tirkolaee

{"title":"A Novel Multiobjective Decision-Making Model to Design a Resilient-Circular Agricultural Waste Management Network Under Uncertainty","authors":"Yegane Eftekhari, Mohammad Mahdi Paydar, Sina Nayeri, Erfan Babaee Tirkolaee","doi":"10.1155/cplx/9523341","DOIUrl":"https://doi.org/10.1155/cplx/9523341","url":null,"abstract":"This research aims to optimally design a waste management network (WMN) for the agricultural sector, considering the circular economy (CE) and resilience dimensions. The principles of CE are integrated by repurposing agricultural waste for compost production, recovering it for biofuel production as renewable energy, reusing it as animal feed, and recycling it into paper. The concept of resilience is also incorporated through node criticality and the use of substitute products, ensuring the supply chain remains adaptable and robust in the face of disruptions. Taking into account sunflowers as a case product, this study proposes a multiobjective decision-making (MODM) model to design their WMN. On the other hand, the fuzzy robust optimization (FRO) method is implemented in the model to tackle the problem’s technical uncertainty. Finally, to address the proposed MODM model, a new solution approach called multichoice interactive weighted tchebycheff goal programming (MCIWTGP) is developed. A case study problem is then investigated along with a set of sensitivity analyses to validate the applicability of the suggested methodology. The results indicate that the proposed model is capable of achieving a high profitability level while maintaining a service level of 9.9 and limiting the number of critical nodes to only 7 within the designed WMN. Furthermore, increasing demand leads to a decrease in profit and service levels while increasing the number of critical nodes. In contrast, an increase in initial waste availability enhances profit and service levels and reduces the number of critical nodes. Moreover, expanding processing center capacity positively impacts profit and service levels and decreases network criticality.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/9523341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Targeted Vaccination Policy Embedded With Behavioral Dynamics and a Heterogeneous Network Setting for Controlling Epidemic Diseases 基于行为动力学的定向疫苗接种政策和异质网络设置控制流行病

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-21 DOI: 10.1155/cplx/9893312

Mohammad Sharif Ullah, Jin Wang

{"title":"Targeted Vaccination Policy Embedded With Behavioral Dynamics and a Heterogeneous Network Setting for Controlling Epidemic Diseases","authors":"Mohammad Sharif Ullah, Jin Wang","doi":"10.1155/cplx/9893312","DOIUrl":"https://doi.org/10.1155/cplx/9893312","url":null,"abstract":"Vaccination techniques inside networks involve a critical trade-off among effectiveness, cost, and time. The proposed research work extends a quenched mean-field (QMF) susceptible–vaccinated–infected (susceptible and vaccinated)–recovered (SVISIVR) model incorporating behavioral dynamics to comprehensively evaluate static (initially vaccinating hubs) and dynamic targeting (vaccinating hubs after prevalence exceeds a threshold) mechanisms, where remaining individuals follow a voluntary vaccination policy. We investigate various scenarios, including diverse targeting fractions (0%–15%), trigger levels (1%), network architectures (scale-free, small-world, and random), vaccination efficiency, and behavioral characteristics that influence voluntary uptake. Our findings suggest that in scale-free networks, even a small hub targeting substantially increases the threshold and decreases the epidemic magnitude. Static targeting yields the most effective epidemic suppression but incurs higher initial costs, while dynamic targeting produces similar effects when activated correctly, thereby maximizing benefits relative to costs. Therefore, the cost structures, vaccine efficacy, and rates of behavioral imitation determine the optimal equilibrium between voluntary and targeted vaccination. These results connect theoretical epidemic thresholds with practical measures of cost-effectiveness, offering policymakers actionable insights for setting vaccination strategies under resource constraints.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/9893312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Financial Institution Multiscale Systemic Risk Spillover Network: A Wavelet Packet-MCQRNN Method 金融机构多尺度系统风险溢出网络：小波包- mcqrnn方法

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-16 DOI: 10.1155/cplx/2352898

Siyu Ren, Xu Zhang

引用次数: 0

Reducing Dimensionality and Complexity in Fine-Grain Urban Models 细粒度城市模型的降维和复杂性

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-15 DOI: 10.1155/cplx/6120118

Guy Solomon, Alan Wilson

引用次数: 0

Survival and Cascades in Geoeconomic Networks: A Graph-Embedded Hazard Framework 地理经济网络中的生存和级联：一个嵌入图表的危险框架

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-11 DOI: 10.1155/cplx/2755184

Diego Vallarino

{"title":"Survival and Cascades in Geoeconomic Networks: A Graph-Embedded Hazard Framework","authors":"Diego Vallarino","doi":"10.1155/cplx/2755184","DOIUrl":"https://doi.org/10.1155/cplx/2755184","url":null,"abstract":"This paper develops a theoretical framework for modelling survival dynamics in interconnected economic systems. The model introduces a graph-embedded hazard model (GEHM) in which node-level survival emerges from nonlinear diffusion over a network structure. The dynamics are governed by a graph p–Laplacian operator combined with a stochastic aggregate process, allowing the economic state of each agent to evolve endogenously through local interactions and aggregate shocks. Crucially, failure is modelled not as a passively recorded event but as an endogenous state transition that feeds back into the system: When a node fails, it injects additional stress into its neighbourhood and may sever its economic links, raising the failure intensity of the agents to which it is connected. The survival probability of an economic agent therefore depends not only on its own characteristics but also on the evolving conditions and the realised failures of its neighbourhood. This feedback turns the system of node-level hazards into a network self-exciting point process, in which each failure mechanically increases the hazard of still-active neighbours. The model characterises conditions under which local shocks dissipate, propagate through neighbouring nodes, or trigger systemic cascades. By integrating survival analysis with network diffusion dynamics and failure feedback, the GEHM framework provides a bridge between duration models, network economics, and nonlinear dynamics on graphs. The approach offers a structural perspective for analysing systemic fragility, contagion, and cascade phenomena in complex economic networks.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/2755184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148466974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Reliable Self-Organized Distributed Complex Network for Communication of Smart Agents 面向智能代理通信的可靠自组织分布式复杂网络

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-09 DOI: 10.1155/cplx/8858726

Mehdi Bakhshipoor, Yousef Azizi, Seyed Ehsan Nedaaee Oskoee

{"title":"A Reliable Self-Organized Distributed Complex Network for Communication of Smart Agents","authors":"Mehdi Bakhshipoor, Yousef Azizi, Seyed Ehsan Nedaaee Oskoee","doi":"10.1155/cplx/8858726","DOIUrl":"https://doi.org/10.1155/cplx/8858726","url":null,"abstract":"Collaboration among distributed agents is fundamental to many complex systems, particularly in communication networks where connectivity must be maintained under energy constraints. In this study, we utilize intelligent agents (nodes) trained through reinforcement learning techniques to establish connections with their neighbors, ultimately leading to the emergence of a large-scale communication cluster. Notably, there is no centralized administrator; instead, agents must adjust their connections based on information obtained from local observations. The connection strategy is formulated using a physical Hamiltonian, thereby categorizing this intelligent system under the paradigm of “Physics-Guided Machine Learning”. Agents are trained via a Deep Q-Network using local observations to minimize changes in the Hamiltonian, enabling adaptive decision-making in dynamic environments. Simulation results demonstrate that the proposed collaborative strategy forms robust large-scale communication clusters while reducing transmission energy compared to baseline approaches. The network maintains high connectivity under agent mobility, density variations, node failures, and environmental obstacles, highlighting strong adaptability and resilience. These findings indicate that physics-guided reinforcement learning provides an effective mechanism for distributed topology optimization in emerging IoT and vehicular communication networks.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/8858726","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148466779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Complex Dynamics of Intelligence-Level Adjustment in Intelligent and Connected Vehicle Manufacturers 智能网联汽车制造商智能水平调整的复杂动力学

IF 1.6 4区工程技术

Complexity Pub Date : 2026-07-03 DOI: 10.1155/cplx/6526057

Chongde Wang, Tian-Chen Yuan

{"title":"Complex Dynamics of Intelligence-Level Adjustment in Intelligent and Connected Vehicle Manufacturers","authors":"Chongde Wang, Tian-Chen Yuan","doi":"10.1155/cplx/6526057","DOIUrl":"https://doi.org/10.1155/cplx/6526057","url":null,"abstract":"Against the backdrop of software monetization and carbon constraints reshaping competition, it is necessary to identify the stability boundary for intelligence adjustment. We build a heterogeneous duopoly of fuel-vehicle (FV) and new-energy-vehicle (NEV) firms that jointly choose output and intelligence each period, where intelligence shifts effective willingness to pay through an own-uplift effect and a rival-squeeze effect. Under a bounded-rational updating rule, we characterize global dynamics using the largest Lyapunov exponent, single-parameter bifurcations, basins of attraction, and a three-dimensional feasible region. Results show a clear L-shaped stability corridor and a joint threshold in the adjustment-speed space. Moderate adjustment converges, whereas faster NEV adjustment tends to reach period doubling and chaos earlier. Higher per-vehicle software revenue raises NEV intelligence and narrows the corridor. Stronger substitutability initially lifts both sides, but as rivalry intensifies, it weakens FV incentives. Higher carbon costs depress the FV side and further elevate the NEV side, with multistability and attractor switching near the boundary. Overall, the study reveals the mechanisms that govern stable and unstable intelligence adjustment under heterogeneous monetization and carbon constraints, and it provides theoretical support for cadence governance at the firm level as well as for standards coordination and paced monetization at the policy level, helping the industry advance toward orderly, resilient, and sustainable development.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/6526057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Road-Network Hybrid Optimization for Vehicle-Based Emergency Evacuation (Case Study: Qom) 基于车辆紧急疏散的动态路网混合优化（以Qom为例）

IF 1.6 4区工程技术

Complexity Pub Date : 2026-06-30 DOI: 10.1155/cplx/4292477

Mohammad Ebrahimian, Shahriar Afandizadeh, Ali Naderan

{"title":"Dynamic Road-Network Hybrid Optimization for Vehicle-Based Emergency Evacuation (Case Study: Qom)","authors":"Mohammad Ebrahimian, Shahriar Afandizadeh, Ali Naderan","doi":"10.1155/cplx/4292477","DOIUrl":"https://doi.org/10.1155/cplx/4292477","url":null,"abstract":"Urban evacuation is a typical complex-system problem in which heterogeneous agents, capacity-limited shelters, and time-varying road conditions interact on a large network. This study proposes a hybrid optimization framework for vehicle-based emergency evacuation that combines an exact baseline solved by DOcplex Python with metaheuristic algorithms, namely, GWO, GA, PSO, and SA, to preserve solution quality under both static and dynamic conditions. The model instantiates a multivehicle, multidepot routing setting with two evacuee classes (injured/noninjured), multiple vehicle types (bus-ambulance, bus, minibus), and dual shelter categories (hospital/residential), embedded on a GIS-derived road graph. On a real network from District 8, Qom (Iran), the exact layer delivers the best performance in normal traffic (e.g., mean evacuation time ≈ 79.4 min vs. 85.1–93.8 min for metaheuristics), under crisis conditions involving road closures and counterflow; however, the GWO- and GA-based approaches produce the most effective routes, with evacuation times of approximately 93.4–93.6 min, without requiring full reoptimization. This two-layer design treats evacuation as control on a changing network, balancing optimality (when feasible) with adaptability (when conditions shift), and demonstrates measurable gains in clearance time and operational resilience. The results highlight how hybrid computation and network-aware dynamics can bridge the gap between theoretically optimal routing and real-time decision support in disasters.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/4292477","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Information Governance Reconfigures Crisis Information Ecologies: An Agent-Based Model of Trust Collapse, Rumor Dominance, and Polarization 信息治理重构危机信息生态：基于代理的信任崩溃、谣言主导和两极分化模型

IF 1.6 4区工程技术

Complexity Pub Date : 2026-06-30 DOI: 10.1155/cplx/4899778

Jie Xin, Hangqi Zhang

{"title":"Information Governance Reconfigures Crisis Information Ecologies: An Agent-Based Model of Trust Collapse, Rumor Dominance, and Polarization","authors":"Jie Xin, Hangqi Zhang","doi":"10.1155/cplx/4899778","DOIUrl":"https://doi.org/10.1155/cplx/4899778","url":null,"abstract":"Crisis conditions can rapidly reshape collective belief formation by altering the information ecology through which agents observe, share, and interpret risk. We develop an agent-based model of networked social learning to examine how governance regimes—defined by the presence or absence of information suppression, accountability, and hope-based mobilization—reconfigure trust dynamics, rumor reliance, polarization, and action support over an identical exogenous risk cycle. Comparing eight regimes, we identify three robust macrolevel patterns. Open information regimes sustain epistemic coordination, maintaining high average trust, negligible rumor influence, and near-zero horizontal conflict. Suppression without accountability produces an early and persistent transition to rumor-dominant updating, accompanied by trust collapse and durable polarization, yielding an ungovernable equilibrium. Adding accountability mitigates total trust breakdown but does not restore epistemic integration: suppressed-yet-accountable regimes remain stably polarized despite intermediate trust and participation. Hope-based mobilization increases action support across regimes but fails to repair fragmented information environments under suppression, resulting in mobilization without integration. Robustness experiments that relax key assumptions on rumor floors and exposure compression preserve the regime ordering and typology, indicating that the conclusions are structural rather than parameter-specific. These findings highlight how governance configurations condition crisis resilience by reorganizing information ecologies, with implications for the sustainability of coordinated decision-making in organizational and ESG-relevant contexts.","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/4899778","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to “Organizing Project Actors for Collective Decision-Making about Interdependent Risks” 修正“组织项目参与者对相互依赖的风险进行集体决策”

IF 1.6 4区工程技术

Complexity Pub Date : 2026-06-29 DOI: 10.1155/cplx/9768416

引用次数: 0