Given the ubiquitous nature of infrastructure networks in today's society, there is a global need to understand, quantify, and plan for resilience these disruptions. This work defines network along dimensions reliability, vulnerability, survivability, recoverability, quantifies as function component performance. The treatment vulnerability recoverability random variables leads stochastic measures resilience, including time total system restoration, full service specific α% resilience....

Recent studies in system resilience have proposed metrics to understand the ability of systems recover from a disruptive event, often offering qualitative treatment resilience. This work provides quantitative and focuses specifically on measuring infrastructure networks. Inherent cost are introduced: loss service total network restoration . Further, “costs” shared across multiple infrastructures industries that rely upon those networks, particularly when such networks become inoperable face...

This paper introduces a new, alternative approach for the analysis of power systems vulnerability based on hybrid model that combines elements classical Deterministic Network Interdiction Problem (DNIP) with use an efficient multi-objective optimization evolutionary algorithm (MOEA). From perspective, traditional DNIP is implemented as surrogate to understand interaction between system's component incapacitation (due random failures or external attacks), and system load shedding. The...

Inherent in project management is the risk that a fails to meet planned completion deadlines due delays experienced individual tasks. As such, certain critical tasks may be candidates for (e.g., allocation of additional resources such as labor, materials, and equipment) prevent delays. A common means identify with path method (CPM), which identifies network that, when delayed, result This work offers complementary, stochastic approach CPM ranks according their effect on time distribution,...

This article presents a newly developed evolutionary algorithm for solving multi-objective optimization models the design of multi-state two-terminal networks. It is assumed that each network component, known set functionally equivalent component types (with different performance specifications) can be used to provide redundancy. Furthermore, reliability behavior and its components have range states varying from perfect functioning complete failure; is, behavior. Thus, new allows case...

This paper presents the technique of Singular Spectrum Analysis (SSA) and its application for electric load forecasting purposes. SSA is a relatively new non-parametric data-driven developed to model non-linear and/or non-stationary, noisy time series. able decompose original series into sum independent components, which represent trend, oscillatory behavior (periodic or quasi- periodic components) noise. One main advantages compared other approaches that only two parameters are required...

Many networks, particularly infrastructure have multiple source nodes and terminal nodes. And many such networks exhibit community structures, wherein the network is partitioned into groups of densely connected with sparse connections between groups, based on topology or spatial characteristics, among others. This article proposes an approach for evaluating effects disruptive events, disconnection components due to failures attacks, structures total network. The enables assessment...

This paper describes the vulnerability analysis of a complex network as process identifying combination component failures that provide maximum reduction performance. By way analysis, understanding these can be related to occurrence disruptive event, and also fundamental tasks for protection critical infrastructures. To describe vulnerability, provides an analytical method characterize completely importance disruptions identify set via solution proposed multi-objective problem. approach...