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Modern Applied Statistics With S

In this paper we are concerned with global optimization, which can be defined as the problem of finding points on a bounded subset of Rn in which some real valued functionf assumes its optimal (i.e. maximal or minimal) value. We present a stochastic approach which is based on the simulated annealing algorithm. The approach closely follows the formulation of the simulated annealing algorithm as originally given for discrete optimization problems. The mathematic formulation is extended to continuous optimization problems and we prove asymptotic convergence to the set of global optima. Furthermore, we discuss an implementation of the algorithm and compare its performance with other well known algorithms. The performance evaluation is carried out for a standard set of test functions from the literature. Keywords: global optimization, continuous variables, simulated annealing.

Global optimization and simulated annealing

Community resilience has been addressed across multiple disciplines including environmental sciences, engineering, sociology, psychology, and economics. Interest in community resilience gained momentum following several key natural and human-caused hazards in the United States and worldwide. To date, a comprehensive community resilience model that encompasses the performance of all the physical and socio-economic components from immediate impact through the recovery phase of a natural disaster has not been available. This paper summarizes a literature review of previous community resilience studies with a focus on natural hazards, which includes primarily models of individual infrastructure systems, their interdependencies, and community economic and social systems. A series of national and international initiatives aimed at community resilience are also summarized in this study. This paper suggests extensions of existing modeling methodologies aimed at developing an improved, integrated understanding of resilience that can be used by policy-makers in preparation for future events.

/pdf/state-of-the-research-in-community-resilience-progress-and-4xc4amxb81.pdf

State of the research in community resilience: progress and challenges.

Transportation Research, Part A: Policy and Practice

The resilience of transportation systems has been extensively studied in the past decade. This paper aims to provide a synthesis of the up-to-date literature on resilient transportation, focusing on concepts and methodologies. A systematic literature search method integrating database search, related journal search, and citation supplement is proposed to select all the appropriate articles. Based on the selected core papers, the definition of resilience is examined, and some related concepts are compared. The main body of the paper is devoted to the review of metrics and mathematical models used to measure resilience and the strategies used to enhance resilience. Several popular subtopics are identified and discussed. Finally, current research gaps and challenges are addressed, and some potential research directions are presented.

http://hub.hku.hk/bitstream/10722/270084/1/content.pdf

Resilience of Transportation Systems: Concepts and Comprehensive Review

This paper presents a novel resilience-based framework to optimise the scheduling of the post-disaster recovery actions for road-bridge transportation networks. The methodology systematically incor...

Resilience-based post-disaster recovery strategies for road-bridge networks

Resilience-based risk mitigation for road networks

Bridge network maintenance prioritization under budget constraint

This study proposes a framework for the probabilistic prediction of building portfolio functionality loss (BPFL) in a community following an earthquake hazard. Building functionality is joi...

Probabilistic Prediction of Postdisaster Functionality Loss of Community Building Portfolios Considering Utility Disruptions

One strategy to mitigate social and economic vulnerabilities of communities to natural disasters is to enhance the current infrastructure underlying the community. Decisions regarding allocation of limited resources to improve infrastructure components are complex and involve various trade-offs. In this study, an efficient multi-objective optimization model is proposed to support decisions regarding building retrofits within a community. In particular, given a limited budget and a heterogeneous commercial and residential building stock, solutions to the proposed model allow a detailed analysis of the trade-offs between direct economic loss and the competing objective of minimizing immediate population dislocation. The developed mathematical model is informed by earthquake simulation modeling as well as population dislocation modeling from the field of social science. The model is applied to the well-developed virtual city, Centerville, designed collaboratively by a team of engineering experts, eco...

Weili Zhang

Papers

Resilience-based post-disaster recovery strategies for road-bridge networks

Resilience-based risk mitigation for road networks

Bridge network maintenance prioritization under budget constraint

Probabilistic Prediction of Postdisaster Functionality Loss of Community Building Portfolios Considering Utility Disruptions

A multi-objective optimization model for retrofit strategies to mitigate direct economic loss and population dislocation