Multi-objective optimization model for water emergency rescue facilities location in reservoir area

doi:10.16265/j.cnki.issn1003-3033.2018.04.030

Abstract

Abstract: In order to make scientific decisions on emergency rescue facility location of the reservoir water, safety risk weight coefficient was introduced by analyzing the water emergency and rescue facilities optimal location problem thoroughly. A multi-objective optimization location model of emergency rescue facilities was built with fairness, timeliness and reliability as the objective, and the emergency coverage radius was taken as the constraint condition. The MOPSO algorithm was introduced to solve the Pareto optimal solution sets, and the compromise position was an effective tradeoff solution based on the improved TOPSIS algorithm. The model was used to solve a water emergency rescue facilities location problem in a certain reservoir area. The results show that the non-inferior solution fully reflects the trade-off relationship between the fairness, timeliness and reliability in this case, and that the optimal compromise solution of the multi-objective optimization location model can be achieved with the MOPSO and TOPSIS algorithms.

Key words: reservoir area, water emergency and rescue, facilities location, multi-objective particle swarm optimization (MOPSO), technique for order preference by similarity to an ideal solution (TOPSIS)

CLC Number:

ZHANG Jinfeng, HE Yunfeng, WU Xiaohong, LIU Yongsen. Multi-objective optimization model for water emergency rescue facilities location in reservoir area[J]. China Safety Science Journal, 2018, 28(4): 175-181.

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