| Our country boasts a vast territory, yet large numbers of natural or human-contrived disasters occur every year, for which substantive manpower, material and financial resources have to be input by the government into the disaster relief work. Losses stemmed from ineffective emergency logistics account for 15%-20% of the entire casualty and financial losses caused by sudden outbursts of natural calamities and human-contrived disasters, for instance, in 2003, total losses due to the SARS outbreak amounted to USD 17.6 billion including a USD 3 billion worth of losses as a result of ineffective emergency logistics. Owing to the particularity of emergency logistics, focuses tend to be placed on its timeliness and the ultimate salvage effect, yet overlooking the economical efficiency in the logistical course. Based on the research into vehicle routing problems (VRP), vehicle scheduling and operating work could, on the condition of meeting the timeliness requirement of emergency logistics, be more rational, and therefore substantially reduce the logistical cost.Via the analysis into the characteristics of VRP in emergency logistics and the integration with actual practice, the paper established a general mathematical model for VRP in emergency logistics, based on which a comparison was drawn between genetic algorithm and immune algorithm. A conclusion can be finalized through comparison that having absorbed the advantages of genetic algorithm, immune algorithm can better avoid the premature and slow convergence that are quite phenomenal in genetic algorithm. With the application of immune algorithm, the paper finally work out the targeted problem through programing, proving that immune algorithm serves better in solving problems of this kind.
|
PDF Full Text Request