public static void main(String[] args) {
TaskManager tm = new TaskManager();
tm.setSearchURL(1000);
tm.setNetDeepth(3);
tm.setResultToDb(true);
tm.setResultToFile(false);
tm.setRecords(1000);
PrintUtil.debug("设置的搜索容量为 " + tm.getSearchURL());
PrintUtil.debug("设置的搜索深度为 " + tm.getNetDeepth());
PrintUtil.debug(
"结果保存在" + (tm.isResultToDb() ? "数据库中" : " ") + (tm.isResultToFile() ? "文件中" : ""));
// 保存文件
Calendar c = Calendar.getInstance();
int month = c.get(Calendar.MONTH) + 1;
int day = c.get(Calendar.DAY_OF_MONTH);
tm.setUrlfilename("url-" + month + "-" + day + ".txt");
// 添加初始网址
Address a = new Address();
String url = "http://www.bilibili.com/";
a.setUrl(url);
a.setTitle(url);
tm.initAdd(a);
tm.start();
// 计时器
Timer t = new Timer();
Counter counter = new Counter();
counter.setTm(tm);
t.schedule(counter, 3000, 5000);
}
@Override
public void run() {
// TODO Auto-generated method stub
if (tm.isFinished()) {
this.cancel();
}
PrintUtil.debug(
"To do Tasks: "
+ tm.getTodoTasks()
+ " Done Tasks: "
+ tm.getDoneTasks()
+ " Current Threads: "
+ tm.getTaskThreads());
}
public static void main(String[] args) {
final int ARR_SIZE = 5;
int[] wayOfOptimization = new int[] {0, 1, 1, 1, 1};
double[][] sourceMatrix = {
{37990, 1.7, 2, 6144, 2048},
{22990, 1.35, 2, 4096, 2048},
{55850, 2.5, 4, 8192, 2048},
{9990, 1.33, 4, 2048, 2048},
{299750, 2.7, 4, 32768, 8192}
};
double[][] normalizedMatrix = new double[sourceMatrix.length][ARR_SIZE];
final double[] criterialWeights = new double[] {0.5, 0.25, 0.1, 0.2, 0.15};
System.out.println(new LaptopMain().getClass().getSimpleName().toString());
PrintUtil.printArrayWithHeader(wayOfOptimization, PrintUtil.WAY_OF_OPT);
AHPM.checkSourceMatrixForZeros(sourceMatrix, ARR_SIZE);
PrintUtil.printMatrixWithHeader(sourceMatrix, PrintUtil.ALTERNATIVES);
// create and initialise array of temporary arrays
double[][] tempArrArr = new double[ARR_SIZE][];
for (int i = 0; i < ARR_SIZE; i++) {
tempArrArr[i] = new double[sourceMatrix.length];
}
// normalize matrix using temp array of arrays
AHPM.normalizeFull(tempArrArr, sourceMatrix, wayOfOptimization);
for (int n = 0; n < ARR_SIZE; n++)
for (int i = 0; i < sourceMatrix.length; i++) normalizedMatrix[i][n] = tempArrArr[n][i];
PrintUtil.printMatrixWithHeader(normalizedMatrix, PrintUtil.NORMALIZED);
PrintUtil.printArrayWithHeader(criterialWeights, PrintUtil.CRITERIAL_WEIGHTS);
// function of utility
double[] utilMeanings = new double[sourceMatrix.length];
for (int i = 0; i < normalizedMatrix.length; i++)
for (int j = 0; j < ARR_SIZE; j++)
utilMeanings[i] += normalizedMatrix[i][j] * criterialWeights[j];
PrintUtil.printArrayWithHeader(utilMeanings, PrintUtil.UTILITY_FUNCTION);
// sorting
TreeMap<Double, String> tmap = new TreeMap(Collections.reverseOrder());
String[] sourceStrings = new String[sourceMatrix.length];
for (int i = 0; i < sourceStrings.length; i++) sourceStrings[i] = "";
for (int i = 0; i < sourceMatrix.length; i++) {
for (int j = 0; j < ARR_SIZE; j++) sourceStrings[i] += sourceMatrix[i][j] + "\t";
}
for (int i = 0; i < sourceStrings.length; i++) tmap.put(utilMeanings[i], sourceStrings[i]);
Set set = tmap.entrySet();
Iterator iterator = set.iterator();
// PrintUtil.printTree(iterator);
}