Ant Colony Optimization for Disaster Relief Operations

By Wei Yi, Ashwini Kumar. 2007

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Evacuation planning using multiobjective evolutionary optimization approach (2009, background): “…has a spatial component (e.g., location of the safe areas, location of the building blocks in which evacuees are, and route map), evacuation planning can be defined as a spatial MOP (this has been also highlighted by Chow and Lui (2002), Georgiadou et al. (2006) and Yi and Kumar (2007)).”
A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “Some research work on victim evacuation can be found in Bakuli and Smith (1996), Barbarosoglu et al. (2002), Han et al. (2006), Yi and Ozdamar (2007), Yi and Kumar (2007) , Regnier (2008), Stepanov and Smith (2009) and Saadatseresht et al. (2009).”
Models, solutions and enabling technologies in humanitarian logistics (2015, methodology): “Yi and Özdamar (2007) solve this model using a two-stage Ant Colony Optimization heuristic where the ants build routes in the ﬁrst stage and commodity ﬂows are optimized in the next by solving the maximum ﬂow problem.”
Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review (2016, background): “Yan and Shih [77] and Yi and Kumar [78] considered ACO approach.”