期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 8
页码：326-329
出版社：Copernicus Publications
摘要：Particle Swarm Optimization (PSO) is motivated by the social behaviour of organisms, such as bird flocking and fish schooling. Each particle studies its own previous best solution to the optimization problem, and its group s previous best, and then adjusts its position (solution) accordingly. The optimal value will be found by repeating this process. PSO can be useful in different applications. PSO can be used in Multi Modal Optimization ( MMO), Multi Objective Optimization (MOO) and Vehicle Routing Problems (VRP). This paper presents a solution representation and the corresponding decoding method for solving the emergency services problems using PSO. PSO algorithm can be used to solve the emergency problem, because different and outspread solutions can be generated in PSO. It means that the generated solutions by particles spread in entire search space of the problem. PSO algorithm can also keep the best solution until the iteration stops. The solution representation is a -dimensional particle for emergency services with injured. The decoding method for this representation starts with the transformation of particles into a priority list of injured to allocate an ambulance and a hospital to each injured according to the constraints of the problem. For assigning each ambulance to each injured, time is considered as a constraint. Also assigning hospitals to the injured is done according to hospital's capacity. The proposed solution is applied using PSO algorithm with star topology, and tested on a small district in Tehran Metropolitan Area (TMA).
关键词：Particle Swarm Optimization; Disaster Management; Geospatial Information System; Emergency Services
