Journal
OR SPECTRUM
Volume 31, Issue 3, Pages 651-678Publisher
SPRINGER
DOI: 10.1007/s00291-008-0126-7
Keywords
Multi-objective combinatorial optimization; Locational analysis; Genetic algorithm; Disaster recovery planning
Categories
Funding
- Austrian Science Fund (FWF) [L362-N15]
Ask authors/readers for more resources
We present a model for multi-objective decision analysis with respect to the location of public facilities as schools in areas near to coasts, taking risks of inundation by tsunamis into account. A mathematical programming formulation with three objective functions is given. The first objective function is a weighted mean of a minisum and a maximum coverage criterion. The second objective function expresses risk by possible tsunami events; for quantifying this risk, a statistical model for tsunami occurrences by Kaistrenko and Pinegina is applied. The third criterion represents costs. For the solution of the multi-objective optimization problem, we propose a heuristic approach based on the NSGA-II algorithm and compare it with a decomposition technique where the region under consideration is partitioned into smaller sub-regions, and the problem is solved for each separate subregion either exactly or heuristically. Both approaches are tested on two real-life instances from southern Sri Lanka.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available