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vulnerable to future earthquakes compared to
similar designs, in terms of initial construction
cost, obtained with the performance-based design
procedure. This vulnerability increases for designs
selected from the part of the Pareto front curves
where the initial construction cost is the dominant
criterion. Even though these conclusions cannot
be generalized, they provide an indication of the
quality of the designs obtained according to a
prescriptive design code and to a performance-
based design procedure.
On the other hand following a natural hazard,
the condition of the critical infrastructures must
be assessed and damages have to be identified.
Inspections are therefore necessary, immediately
after the catastrophic event, since failure to quickly
inspect, repair and/or rehabilitate the infrastructure
system, particularly in densely populated metro-
politan regions, might delay search and rescue
operations and relief efforts, which increases the
suffering of the survivors. Specialized crews must
be dispatched and inspect critical infrastructures.
The objective of the present work was to schedule
critical infrastructures inspection crews following
an earthquake in densely populated metropolitan
regions. In this work two formulations have been
successfully implemented: in the first, the struc-
tural blocks are assigned to different inspection
groups with an effort to equally distribute the
workload between the groups, while in the second
the optimal route for each group was determined
with an effort to minimize the distance that each
inspection group has to cover. A Particle Swarm
Optimization and an Ant Colony Optimization-
based framework were implemented for dealing
with the problem at hand and they both resulted
in tractable and rapid response models.
Altay, N., & Greene, W. G. (2006). OR/MS
research in disaster operations management.
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ASCE/SEI Standard 41-06. (2006). Seismic re-
habilitation of existing buildings , prepublication
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Seismic evaluation and retrofit of concrete build-
ings. Redwood City, CA: Applied Technology
Council. ATC-58. (2009). Guidelines for seismic
performance assessment of buildings. Redwood
City, CA: Applied Technology Council.
Coello, C. A. (2000). An updated survey of GA-
based multi-objective optimization techniques.
ACM Computing Surveys , 32 (2), 109-143.
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Colorni, A., Dorigo, M., & Maniezzo, V. (1992).
An investigation of some properties of an ant
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Brussels, Belgium: Elsevier Publishing.
Colorni, A., Dorigo, M., & Maniezzo, V. (1992).
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Varela & P. Bourgine (Eds.), Proceedings of the
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(pp. 134-142). Paris, France: Elsevier Publishing.
Dolsek, M. (2009). Incremental dynamic analysis
with consideration of modelling uncertainties.
Earthquake Engineering & Structural Dynamics ,
38 (6), 805-825. doi:10.1002/eqe.869
Dong, W. M., Chiang, W. L., & Shah, H. C. (1987).
Fuzzy information processing in seismic hazard
analysis and decision making. Soil Dynamics
and Earthquake Engineering , 6 (4), 202-226.
doi:10.1016/0267-7261(87)90003-0
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