Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning

M Alqahtani, MJ Scott, M Hu - Computers & Industrial Engineering, 2022 - Elsevier
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 …

[HTML][HTML] An in-depth survey of bypassing buffer overflow mitigation techniques

MA Butt, Z Ajmal, ZI Khan, M Idrees, Y Javed - Applied Sciences, 2022 - mdpi.com
Buffer Overflow (BOF) has been a ubiquitous security vulnerability for more than three
decades, potentially compromising any software application or system. This vulnerability …

Joint pre-and post-disaster planning to enhance the resilience of critical infrastructures

C Jia, C Zhang, YF Li, QL Li - Reliability Engineering & System Safety, 2023 - Elsevier
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 …

Community structure recovery optimization for partial disruption, functionality, and restoration in interdependent networks

Y Almoghathawi, S Selim, K Barker - Reliability Engineering & System …, 2023 - Elsevier
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 …

Protection-interdiction-restoration for resilient multi-commodity networks

E Kuttler, N Ghorbani-Renani, K Barker… - Reliability Engineering & …, 2024 - Elsevier
Interdependent critical infrastructure systems represent substantial financial investments and
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

Y Wu, Z Chen, J Dang, Y Chen, X Zhao… - Reliability Engineering & …, 2022 - Elsevier
Because the infrastructure network itself has the characteristics of cascading failures,
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

B Aslani, S Mohebbi, E Oughton - Computers & Industrial Engineering, 2024 - Elsevier
Abstract Cyber-Physical Systems (CPS) are increasingly complex and frequently integrated
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 …

Enhancing critical network infrastructure resilience through optimal post-disruption maintenance and routing decisions

R O'Neil, C Diallo, A Khatab, N Rezg - Reliability Engineering & System …, 2025 - Elsevier
Critical network infrastructures such as power grids, telecommunications, and transportation
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 …