How to reasonably and efficiently select and dispatch emergency supplies after large-scale emergencies is an important issue that urgently needs to be studied.A model is built to maximize fairness and comprehensive satisfaction in response to uncertain sudden disaster situations.Firstly,the evaluation index data are used to de-fuzzify to find out the urgency coefficient and construct the equity model based on urgency;Secondly,considering the psychological panic factors of disaster victims and government satisfaction,a comprehensive satisfaction model is constructed;Finally,the improved NSGA-Ⅱ algorithm is used to solve the problem.This article designs a two-stage encoding and decoding scheme based on location scheduling,using adaptive crossover probability and mutation probability formulas based on population entropy,and designs corresponding crossover and mutation operations,introducing operators for neighborhood search.On the basis of verifying the effectiveness of the improved NSGA-Ⅱ algorithm in this paper through classic testing functions,practical case analysis shows that the improved NSGA-Ⅱ algorithm can effectively solve multi-objective location scheduling problems,and the results of optimizing demand urgency are better in balancing fairness and satisfaction.
Emergency Material location DispatchUrgency CoefficientRisk Perception of Disaster VictimsImproved NSGA-Ⅱ Algorithm
NETL
NSTL
万方数据
