Fernández-Fernández, Yasmany ; Allende Alonso, Sira M. ; Miranda Pérez, Ridelio ; Bouza Allende, Gemayqzel
Okarma, Krzysztof - ed. ; Skrzypczyński, Piotr - ed. ; Stefanowski, Jerzy - ed.
Hurricane evacuation planning under uncertainty requires integrating decisions across multiple spatial and temporal scales, yet the literature addresses demand stochasticity, temporal robustness, and computational tractability largely in isolation. ; This paper develops a unified optimization framework organized around six progressive layers: meteorological scenario generation, deterministic and stochastic network flow planning, vehicle scheduling with origin-based decomposition, classical robust temporal protection, neutrosophic adaptive robust optimization with scenario-anchored uncertainty sets, and computational complexity characterization. ; An integrated critical review of 337 Scopus-indexed publications (2022-2026) identifies persistent methodological gaps that motivate each architectural layer. The framework couples two-stage stochastic programming with budget-constrained robust optimization, affine decision rules, and neutrosophic indeterminacy calibration within a single operational pipeline. ; Validation on a georeferenced Caribbean network demonstrates a 94% reduction in binary variables through origin-based decomposition and end-to-end execution in under four minutes, with a sensitivity analysis showing that neutrosophic budget calibration reduces the price of robustness from 24.8% to 2.8%.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 36, number 3 (2026)
Biblioteka Uniwersytetu Zielonogórskiego
Nov 6, 2026
Nov 6, 2026
0
https://www.zbc.uz.zgora.pl/publication/115180
Owens, David H. Daley, Steve Gałkowski, Krzysztof - ed. Rogers, Eric - ed. Willems, Jan
Abdelbari, Merwan Nachi, Khadra Sokołowski, Jan Novotny, Antonio Andre Campagner, Andrea - ed. Lenz, Oliver Urs - ed. Xia, Shuyin - ed.
Punčochář, Ivo Šimandl, Miroslav Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.