Team # 38411 Page 17 of 28
4.3.4 Strengths and Weaknesses
● Strengths: By using this simulated annealing algorithm, the total length of the delivery routes
between logistics points will reach an optimum value, thus greatly reducing delivery time and realizing the aim of high-efficient resource sharing.
● Weaknesses: Maybe you've found each optimal paths are not the same, although they only have a little difference. The reason is that SA is a stochastic optimization algorithm, so it takes several times to optimize when we apply this strategy, and each time is different. That is to say, there exists more than one shortest mileage.
Of course, if you shaking your head, then we recommend you to take a flight by Blackhawk helicopter directly. We believe you would be interested in our method.
5 Model Three: How Much Should the Distribution
of Resources be?
5.1 Quantity of the Resources Needed
5.1.1 Introduction
Since the outbreak of the Ebola virus, according to WHO statistics as follows data presented. In order to predict the outbreak areas in need of resources (capital, rescue workers, drugs and so on), we need to measure a variety of factors such as Deaths, Cases, Total expenditure on health as % of GDP, Total expenditure on health per capita, GNI per capita, Nursing and mid and Population. However, the official publication of specific information is limited, Deaths and Cases will be considered as the main factors. For simplicity, we consider only three countries Guinea, Sierra Leone and Liberia. In the case of USD contributed, we create forecast model. ● We establish an AR Time Series model.
We forecast USD by poly