用贪心算法解决TSP问题

旅行商问题,即TSP问题(Traveling Salesman Problem)又译为旅行推销员问题、货郎担问题,是数学领域中著名问题之一。假设有一个旅行商人要拜访n个城市,他必须选择所要走的路径,路径的限制是每个城市只能拜访一次,而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。

环境:程序使用语言java,jdk版本1.8,程序中用到的jar包:poi-3.17

jar包下载地址:https://www.apache.org/dyn/closer.lua/poi/release/bin/poi-bin-3.17-20170915.tar.gz

程序中使用的数据:下载地址:https://download.csdn.net/download/qq_35685675/10487174

项目导入:

用贪心算法解决TSP问题_第1张图片

3.实验主要源代码

City.java//城市类,结构体

package TSP;

publicclass city {

   privateintname;

   privatedoubleX;

   privatedoubleY;

   public city(intname, doublex, doubley) {

      super();

      this.name = name-1;

      X = x;

      Y = y;

   }

   publicint getName() {

      returnname;

   }

   publicvoid setName(intname) {

      this.name = name;

   }

   publicdouble getX() {

      returnX;

   }

   publicvoid setX(doublex) {

      X = x;

   }

   publicdouble getY() {

      returnY;

   }

   publicvoid setY(doubley) {

      Y = y;

   }

   @Override

   public String toString() {

      return"city [name=" + name + ",X=" + X + ", Y=" + Y + "]";

   }

  

}

 

inputData.Java//导入数据类

package TSP;

import java.io.File;

import java.io.FileInputStream;

import java.io.FileNotFoundException;

import java.io.IOException;

import java.util.ArrayList;

import java.util.List;

 

import org.apache.poi.hssf.usermodel.HSSFRow;

import org.apache.poi.hssf.usermodel.HSSFSheet;

import org.apache.poi.hssf.usermodel.HSSFWorkbook;

 

publicclass inputData {

   @SuppressWarnings("resource")

   publicstatic List input_att48(File file){

      List cityList = new ArrayList();

      try {

          HSSFWorkbook wookbook = new HSSFWorkbook(new FileInputStream(file));

          HSSFSheet sheet = wookbook.getSheet("Sheet1");

          introws = sheet.getPhysicalNumberOfRows();

          for(inti=1; i<rows; i++){

             HSSFRow row = sheet.getRow(i);

             if(row!=null){

                city cy = new city(i, row.getCell(1).getNumericCellValue(), row.getCell(2).getNumericCellValue());

                cityList.add(cy);

             }

          }

         

      } catch (FileNotFoundException e) {

          System.out.println("File not fount!");

      } catch (IOException e) {

          System.out.println("IO exception!");

      }

      returncityList;

   }

}

 

Greedy.Java//核心代码

package TSP;

 

import java.io.File;

import java.util.List;

import java.util.Scanner;

 

publicclass greedy {

  

   staticdoubleINF = Double.MAX_VALUE;

   staticdouble[][] DT = null;

   staticint[] mark = null;

   staticint[] path = null;

   staticdouble solve(intn) {

      doublepathLenght = 0;

      File file = new File("E:\\Java\\arithmetic\\src\\resource\\att48.xls");

      List cityList = inputData.input_att48(file);

      System.out.println("city [城市编号   城市X坐标    城市Y坐标]");

      for(inti=0; i<n; i++) {

          System.out.println(cityList.get(i).toString());

      }

      DT = newdouble[n][n];

      mark = newint[n];

      path = newint[n+1];

      for(inti=0; i<n; i++) {

          for(intj=i; j<n; j++) {

             if(i==j) DT[i][j] = 0;

             else {

                doubledertX = cityList.get(i).getX()-cityList.get(j).getX();

                doubledertY = cityList.get(i).getY()-cityList.get(j).getY();

                DT[i][j] = Math.sqrt(dertX*dertX + dertY*dertY);

                DT[j][i] = DT[i][j];

             }

          }

      }

      ints = 0;//s起点

      intv = s;//v当前点

      mark[v] = 1;

      path[0] = v;//第一个城市

      intcnt = 1;

      while(cnt<n) {

          doublemin = INF;

          for(inti=1; i<n; i++) {

             if(mark[i]==0) {

                if(DT[v][i] < min) {

                   min = DT[v][i];

                   path[cnt] = i;

                }

             }

          }

          pathLenght += min;

          v = path[cnt++];//先复制后cnt++

          mark[v] = 1;

      }

      pathLenght += DT[path[v]][s];

      path[cnt] = s;

     

      returnpathLenght;

   }

  

   @SuppressWarnings("resource")

   publicstaticvoid main(String[] args) {

     

      System.out.println("----------------贪心算法解决TSP问题----------------");

      Scanner in = new Scanner(System.in);

      while(true) {

          System.out.println();

          System.out.println("请输入城市数:");

          intn = in.nextInt();

          if(n>48) {

             System.out.println("样例有限,城市数不能超过48");

             return;

          }

          doublepathLength = solve(n);

          System.out.println("旅行路线:");

          System.out.print(path[0]);

          for(inti=1; i<=n; i++) {

             System.out.print("->");

             System.out.print(path[i]);

          }

          System.out.println();

          System.out.print("路线长度:");

          System.out.println(pathLength);

      }

   }

}

输入输出:

用贪心算法解决TSP问题_第2张图片

用贪心算法解决TSP问题_第3张图片

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