Descripción
earthquake preparedness in Lima, Peru. A multi-objectiveapproach is implemented using two evolutionary algorithms, NSGA-II
and SPEA-II, to identify shelter sites that maximize population coverage,
prioritize areas with high seismic vulnerability and risk, and ensure
proximity to essential services such as healthcare facilities and water
sources. The analysis integrates geospatial data on 5,855 potential shelters,
evaluating scenarios under tuned algorithm configurations. Comparative
results indicate that while SPEA-II achieves higher and more
stable average fitness values, NSGA-II consistently reaches higher maximum
objective values and exhibits greater diversity across the Pareto
front, leading to a more balanced spatial distribution of shelters. For this
reason, NSGA-II was selected for district-level and shelter characteristic
analyses. The overlap with official municipal designations is limited ( 6
%), revealing differences in prioritization and highlighting underserved
high-risk districts. An interactive web-based visualization was developed
to support decision-making, enabling exploration of Pareto-optimal solutions
and their spatial implications. The proposed framework offers
a replicable methodology for seismic hazard–exposed urban areas, integrating
optimization, spatial analysis, and decision support tools.
| Período | 29 oct. 2025 |
|---|---|
| Grado de reconocimiento | Internacional |