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Journal ArticleDOI

Optimal restoration schedules of transportation network considering resilience

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TLDR
A novel resilience-based optimisation model for post-disaster urban transportation network restoration that could obtain a set of general optimal restoration schedules in an efficient manner so that decision-makers could make a final choice by weighting other preferences and experience.
Abstract
Transportation network is of vital importance for city maintaining and reconstruction especially after extreme events. Decisions on the restoration plan of transportation network have to be made in...

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Citations
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Journal Article

A hybrid genetic algorithm for job shop scheduling problem

TL;DR: A Hybrid Genetic Algorithm, combining genetic algorithm with neural network, for Job shop scheduling problem is described and it is shown that this method is good for complex production scheduling, at calculation time and goodness.
Journal ArticleDOI

A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks

TL;DR: In this paper , the authors developed a two-layer multiplex network and described failure propagation models by motifs in single-layer and multiplex networks, followed by strategies for its improvement.
Journal ArticleDOI

Performance-based decision-making of buildings under seismic hazard considering long-term loss, sustainability, and resilience

TL;DR: It may be concluded that incorporating seismic sustainability and resilience in PB-MCDM approach in a long-term perspective can provide ideal solutions and better decision-making against retrofit alternatives.
Journal ArticleDOI

Operationalizing resilience practices in transportation infrastructure planning and project development

TL;DR: In this paper , the authors examine practices for incorporating resilience by transportation agencies and suggest the need for innovative and practical methods, processes, and information for resilience integration in transportation planning and project development.
References
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Book ChapterDOI

A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II

TL;DR: Simulation results on five difficult test problems show that the proposed NSGA-II, in most problems, is able to find much better spread of solutions and better convergence near the true Pareto-optimal front compared to PAES and SPEA--two other elitist multi-objective EAs which pay special attention towards creating a diverse Paretimal front.
Journal ArticleDOI

The Delphi method

TL;DR: The Delphi method was originally developed in the 50s by the RAND Corporation and was used more often especially for national science and technology foresight and therefore the value of the process as such was acknowledged.
Journal ArticleDOI

Framework for analytical quantification of disaster resilience

TL;DR: Resilience function captures the effect of the disaster, but also the results of response and recovery, the effects of restoration and preparedness, and becomes an important tool in the decision process for both the policy makers and the engineering professionals.
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