Title :
Improved genetic algorithm for emergency logistics distribution vehicle routing problems
Author_Institution :
Dept. of Comput. Sci. & Technol., Dalian Neusoft Univ. of Inf., Dalian, China
Abstract :
Based on the research on Vehicle Routing Problems (VRP), vehicle scheduling and operating work can be more rational, which consequently reduces the logistical cost on the condition of meeting the timeliness requirement of emergency logistics. In this paper, we give an analysis of the characteristics of VRP in emergency logistics. According to the practical situations of VRP, an improved genetic algorithm (GA) is proposed and applied to a general mathematical model established for VRP in emergency logistics in this paper. Simulation results show that the algorithm is feasible and effective.
Keywords :
cost reduction; emergency management; genetic algorithms; logistics; scheduling; vehicle routing; GA; VRP; emergency logistics distribution vehicle routing problems; general mathematical model; genetic algorithm; logistical cost reduction; operating work; timeliness requirement; vehicle scheduling; Biological cells; Genetic algorithms; Logistics; Sociology; Statistics; Vehicle routing; Vehicles; Emergency Logistics; Improved GA; Vehicle Routing Problem;
Conference_Titel :
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-5352-3
DOI :
10.1109/SPAC.2014.6982721
