最新版本541200007

doum

12 小时以前 d8b9d884967f502caac58d723e57931d0356fa11

 server/visits/dmvisit_service/src/main/java/com/doumee/core/tsp/TspSolver.java

@@ -4,8 +4,10 @@
import com.doumee.core.exception.BusinessException;
import com.google.ortools.Loader;
import com.google.ortools.constraintsolver.*;
import com.google.protobuf.Duration;
import com.google.protobuf.DurationOrBuilder;
import lombok.extern.slf4j.Slf4j;
import com.google.protobuf.Internal.IntListAdapter.IntConverter;
import com.google.ortools.constraintsolver.mainJNI;

import java.util.ArrayList;
import java.util.List;
@@ -23,7 +25,7 @@
        data.initDataList();//构造数据

        long start =System.currentTimeMillis();
        System.out.println("=============start=========="+start);
       log.error("=============start=========="+start);
        //创建求解器manager对象，初始化求解器数据
        RoutingIndexManager manager =  new RoutingIndexManager(data.distanceMatrix.length, data.vehicleNumber, data.depot);

@@ -69,15 +71,15 @@
        // 打印路线
        printSolution(data, routing, manager, solution);
        long end =System.currentTimeMillis();
        System.out.println("=============end=========="+end);
       log.error("=============end=========="+end);

        System.out.println("=============耗时=========="+(end -start)+"（ms）"+(end -start)/1000 +"s"+(end -start)/60/1000 +"m");
       log.error("=============耗时=========="+(end -start)+"（ms）"+(end -start)/1000 +"s"+(end -start)/60/1000 +"m");
    */}
    public static void startSearch(DataModel data) {
        // 初始化数据模型
        Loader.loadNativeLibraries();
        long start =System.currentTimeMillis();
        System.out.println("=============start=========="+start);
       log.error("开始规划=============start=========="+start);
        //创建求解器manager对象，初始化求解器数据
        RoutingIndexManager manager =  new RoutingIndexManager(data.distanceMatrix.length, data.vehicleNumber, data.depot);

@@ -85,7 +87,7 @@
        RoutingModel routing = new RoutingModel(manager);

        // 注册回调函数
        final int transitCallbackIndex =
       final int transitCallbackIndex =
                routing.registerTransitCallback((long fromIndex, long toIndex) -> {
                    int fromNode = manager.indexToNode(fromIndex);
                    int toNode = manager.indexToNode(toIndex);
@@ -94,25 +96,38 @@

        // 定义回调函数至每条路线
        routing.setArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
        // 增加距离维度约束
        routing.addDimension(transitCallbackIndex, 0, 300000000,
  /*      routing.addDimension(transitCallbackIndex, 0, 30000000,
                true,
                "Distance");
        RoutingDimension distanceDimension = routing.getMutableDimension("Distance");
        distanceDimension.setGlobalSpanCostCoefficient(100);
//        // 添加容量限制
        distanceDimension.setGlobalSpanCostCoefficient(100); */
        // 注册回调函数
        final int transitCallbackIndex1 =
                routing.registerTransitCallback((long fromIndex, long toIndex) -> {
                    int fromNode = manager.indexToNode(fromIndex);
                    return data.customerDemands[fromNode];
                });
        for (int d = 0; d < data.vehicleMaxNodes.length; d++) {
            // 增加距离维度约束
            routing.addDimension(transitCallbackIndex1, 0, data.vehicleMaxNodes[d],
                    true,
                    "customer_"+d);
            RoutingDimension distanceDimension1 = routing.getMutableDimension("customer_"+d);
            distanceDimension1.setGlobalSpanCostCoefficient(100);
        }
        // 添加容量限制
        final int demandCallbackIndex = routing.registerUnaryTransitCallback((long fromIndex) -> {
            int fromNode = manager.indexToNode(fromIndex);
            return data.demands[fromNode];
        });
        routing.addDimensionWithVehicleCapacity(demandCallbackIndex, 0, data.vehicleCapacities, true, "Capacity");
//        routing.addDimensionWithVehicleTransits()
        Solver solver = routing.solver();

        //设置搜索方法
        Solver solver = routing.solver();
        //设置搜索方法(
        RoutingSearchParameters searchParameters =
                main.defaultRoutingSearchParameters()
                        .toBuilder()
                        .setTimeLimit(Duration.newBuilder().setSeconds(60*60*6).build())//最久1小时
                        .setFirstSolutionStrategy(FirstSolutionStrategy.Value.PATH_CHEAPEST_ARC)
                        .build();

@@ -124,8 +139,7 @@
        // 打印路线
        resultSolution(data, routing, manager, solution);
        long end =System.currentTimeMillis();
        System.out.println("=============end=========="+end);
        System.out.println("=============耗时=========="+(end -start)+"（ms）"+(end -start)/1000 +"s"+(end -start)/60/1000 +"m");
       log.error("规划结束=============耗时=========="+(end -start)+"（ms）"+(end -start)/1000 +"s"+(end -start)/60/1000 +"m");
    }
    static void resultSolution( DataModel data, RoutingModel routing, RoutingIndexManager manager, Assignment solution) {
        long maxRouteDistance = 0;
@@ -201,8 +215,10 @@

        //每一个点的商品的数量
        public   long[] demands;
        public   long[] customerDemands;
        //车辆最大容载
        public   long[] vehicleCapacities ;
        public   long[] vehicleMaxNodes ;
        public   long[][] distanceMatrix ;

       public List<TspSolverSolutions> getSolutions() {
@@ -213,30 +229,36 @@
           this.solutions = solutions;
       }

       public  void initDataInfo(int vehicleNumber1, long[] demands1, long[] vehicleCapacities1, long[][] distanceMatrix1){
       public  void initDataInfo(int vehicleNumber1, long[] demands1,long[] demands2, long[] vehicleCapacities1, long[][] distanceMatrix1,long[] vehicleMaxNodes){
            this.demands = demands1;
            this.customerDemands = demands2;
            this.vehicleNumber = vehicleNumber1;
            this.vehicleCapacities=vehicleCapacities1;
            this.distanceMatrix=distanceMatrix1;
            this.vehicleMaxNodes =vehicleMaxNodes;
        }
        public   void initDataList(){
            lenght = 100;
            vehicleNumber = 7;
            lenght = 10;
            vehicleNumber = 5;
            demands = new long[lenght];
            customerDemands = new long[lenght];
            vehicleCapacities =new long[vehicleNumber];
            vehicleMaxNodes =new long[vehicleNumber];
            distanceMatrix =  new long[lenght][lenght];
            int total0 =0;
            for (int i = 0; i <vehicleNumber ; i++) {
                long tem = (long) (Math.random() * 1000 + 20000);
                vehicleCapacities[i] = tem;
                vehicleMaxNodes[i] =50;
                total0+=tem;
                System.out.print(tem+" ,");
            }
            System.out.println( "\ntotal Capacity:"+total0+"=====================");
           log.error( "\ntotal Capacity:"+total0+"=====================");
            long total = 0;
            for (int i = 0; i <lenght ; i++) {
                long tem =  (int)(Math.random()*100+100);
                demands[i] =tem;
                customerDemands[i] =1;
                total+=tem;
                System.out.print(tem+" ,");
                for (int j = 0; j <lenght ; j++) {
@@ -250,7 +272,7 @@
                }
            }

            System.out.println( "\ntotal Demands:"+total+"=====================");
           log.error( "\ntotal Demands:"+total+"=====================");
        }
       /* public final long[][] distanceMatrix = {
                {0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354, 468, 776, 662},