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Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning
As the world's population and economy grow, demand for energy increases as well. Smart
grids can be a cost-effective solution to overcome increases in energy demand and ensure …
grids can be a cost-effective solution to overcome increases in energy demand and ensure …
[HTML][HTML] An in-depth survey of bypassing buffer overflow mitigation techniques
Buffer Overflow (BOF) has been a ubiquitous security vulnerability for more than three
decades, potentially compromising any software application or system. This vulnerability …
decades, potentially compromising any software application or system. This vulnerability …
Joint pre-and post-disaster planning to enhance the resilience of critical infrastructures
Pre-disaster planning and post-disaster scheduling are common strategies to increase the
resilience of critical infrastructure. In this paper, we propose a new two-stage stochastic …
resilience of critical infrastructure. In this paper, we propose a new two-stage stochastic …
Community structure recovery optimization for partial disruption, functionality, and restoration in interdependent networks
Community structures exist in different infrastructure networks such as water, gas, and power
networks among others, where each network is split into multiple sets of components. Such …
networks among others, where each network is split into multiple sets of components. Such …
Protection-interdiction-restoration for resilient multi-commodity networks
Interdependent critical infrastructure systems represent substantial financial investments and
are vital to maintain a fundamental level of social and economic well-being, making them …
are vital to maintain a fundamental level of social and economic well-being, making them …
Allocation of defensive and restorative resources in electric power system against consecutive multi-target attacks
Because the infrastructure network itself has the characteristics of cascading failures,
deliberate attackers will often take advantage of these internal dependencies to perform …
deliberate attackers will often take advantage of these internal dependencies to perform …
A systematic review of optimization methods for recovery planning in cyber-physical infrastructure networks: Current state and future trends
Abstract Cyber-Physical Systems (CPS) are increasingly complex and frequently integrated
into modern societies via critical infrastructure systems, products, and services …
into modern societies via critical infrastructure systems, products, and services …
A risk-averse tri-level stochastic model for locating and recovering facilities against attacks in an uncertain environment
Q Li, M Li, Y Tian, J Gan - Reliability Engineering & System Safety, 2023 - Elsevier
This paper presents a risk-averse tri-level stochastic game-theoretic model between the
defender and the attacker in application to the supply networks. A real supposition is that the …
defender and the attacker in application to the supply networks. A real supposition is that the …
Enhancing critical network infrastructure resilience through optimal post-disruption maintenance and routing decisions
Critical network infrastructures such as power grids, telecommunications, and transportation
are considered critical for both the development and functioning of modern-day societies …
are considered critical for both the development and functioning of modern-day societies …
Robust Facility Location and Protection under Facility Disruptions with Decision-Dependent Uncertainty
HU Haitao, T Jiafu, T Tian - International Journal of Production Economics, 2025 - Elsevier
Planning to mitigate the impacts of disruptions on supply facilities in advance is an important
decision when designing a supply chain network (SCN). This paper proposes a new two …
decision when designing a supply chain network (SCN). This paper proposes a new two …