智能分单算法
算法描述
目前在物流,企业用工等领域,都有着大量的通过算法对接到的订单进行智能分配的需求。本文模拟的是用户下订单,然后商家接到订单,由配送人员进行派送的场景。在实际的应用中类似于百度外卖等有着非常多的实际应用。这种问题因为算法的复杂度太高,很难在短的时间周期内求解成功,所以有了像遗传算法,退火算法等启发式算法,以便在短的时间内能够求出近似的最优解。
本文模拟8个骑士,40个订单和40个商家进行计算。
算法描述
目前在物流,企业用工等领域,都有着大量的通过算法对接到的订单进行智能分配的需求。首先设计bean,商家接到订单的bean,这里需要商家和订单的坐标信息。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | public class BusinessmenAndOrder { private String id; //job标号 private String businessX; //商家坐标x private String businessy; //商家坐标y private String orderx; //订单坐标x private String ordery; //订单坐标y public BusinessmenAndOrder(){ } public BusinessmenAndOrder(String id,String businessX,String businessy,String orderx,String ordery){ this .id=id; this .businessX=businessX; this .businessy=businessy; this .orderx=orderx; this .ordery=ordery; } public String getId() { return id; } public void setId(String id) { this .id = id; } public String getBusinessX() { return businessX; } public void setBusinessX(String businessX) { this .businessX = businessX; } public String getBusinessy() { return businessy; } public void setBusinessy(String businessy) { this .businessy = businessy; } public String getOrderx() { return orderx; } public void setOrderx(String orderx) { this .orderx = orderx; } public String getOrdery() { return ordery; } public void setOrdery(String ordery) { this .ordery = ordery; } } |
模拟40个商家接到40个订单,其中商家和订单都可以是同一坐标位置,后续会考虑将坐标相近的位置进行聚类计算。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | // 得到取件坐标和送达坐标(相当于商家和订单) List<BusinessmenAndOrder> baoList = new ArrayList<BusinessmenAndOrder>(); BusinessmenAndOrder bao1 = new BusinessmenAndOrder( "商家订单1" , "137.45" , "554.19" , "138.83" , "557.56" ); BusinessmenAndOrder bao2 = new BusinessmenAndOrder( "商家订单2" , "840.6" , "532.46" , "139.37" , "558.54" ); BusinessmenAndOrder bao3 = new BusinessmenAndOrder( "商家订单3" , "157.38" , "573.96" , "359.96" , "794.99" ); BusinessmenAndOrder bao4 = new BusinessmenAndOrder( "商家订单4" , "120.45" , "604.18" , "193.49" , "571.18" ); BusinessmenAndOrder bao5 = new BusinessmenAndOrder( "商家订单5" , "137.50" , "564.16" , "357.33" , "784.03" ); BusinessmenAndOrder bao6 = new BusinessmenAndOrder( "商家订单6" , "131.90" , "570.68" , "118.60" , "597.49" ); BusinessmenAndOrder bao7 = new BusinessmenAndOrder( "商家订单7" , "150.21" , "557.68" , "140.98" , "573.79" ); BusinessmenAndOrder bao8 = new BusinessmenAndOrder( "商家订单8" , "115.13" , "585.43" , "115.01" , "596.83" ); BusinessmenAndOrder bao9 = new BusinessmenAndOrder( "商家订单9" , "120.13" , "641.55" , "141.20" , "593.01" ); BusinessmenAndOrder bao10 = new BusinessmenAndOrder( "商家订单10" , "150.06" , "575.78" , "355.11" , "784.26" ); BusinessmenAndOrder bao11 = new BusinessmenAndOrder( "商家订单11" , "114.50" , "588.19" , "119.16" , "583.38" ); BusinessmenAndOrder bao12 = new BusinessmenAndOrder( "商家订单12" , "137.28" , "563.04" , "355.24" , "790.13" ); BusinessmenAndOrder bao13 = new BusinessmenAndOrder( "商家订单13" , "151.04" , "609.23" , "179.37" , "570.66" ); BusinessmenAndOrder bao14 = new BusinessmenAndOrder( "商家订单14" , "113.73" , "583.88" , "139.83" , "538.04" ); BusinessmenAndOrder bao15 = new BusinessmenAndOrder( "商家订单15" , "185.75" , "551.86" , "187.18" , "543.81" ); BusinessmenAndOrder bao16 = new BusinessmenAndOrder( "商家订单16" , "116.39" , "500.71" , "173.63" , "583.75" ); BusinessmenAndOrder bao17 = new BusinessmenAndOrder( "商家订单17" , "112.73" , "534.10" , "108.60" , "604.41" ); BusinessmenAndOrder bao18 = new BusinessmenAndOrder( "商家订单18" , "137.66" , "590.41" , "139.63" , "577.69" ); BusinessmenAndOrder bao19 = new BusinessmenAndOrder( "商家订单19" , "161.38" , "558.01" , "161.83" , "560.24" ); BusinessmenAndOrder bao20 = new BusinessmenAndOrder( "商家订单20" , "137.28" , "561.46" , "143.01" , "616.94" ); BusinessmenAndOrder bao21 = new BusinessmenAndOrder( "商家订单21" , "128.48" , "570.59" , "135.86" , "597.34" ); BusinessmenAndOrder bao22 = new BusinessmenAndOrder( "商家订单22" , "136.45" , "564.88" , "139.55" , "558.59" ); BusinessmenAndOrder bao23 = new BusinessmenAndOrder( "商家订单23" , "128.96" , "568.38" , "139.37" , "559.08" ); BusinessmenAndOrder bao24 = new BusinessmenAndOrder( "商家订单24" , "133.41" , "581.50" , "357.09" , "789.24" ); BusinessmenAndOrder bao25 = new BusinessmenAndOrder( "商家订单25" , "134.83" , "573.03" , "136.14" , "578.20" ); BusinessmenAndOrder bao26 = new BusinessmenAndOrder( "商家订单26" , "146.76" , "516.91" , "165.01" , "483.61" ); BusinessmenAndOrder bao27 = new BusinessmenAndOrder( "商家订单27" , "127.41" , "634.78" , "152.30" , "598.38" ); BusinessmenAndOrder bao28 = new BusinessmenAndOrder( "商家订单28" , "137.48" , "549.33" , "141.20" , "561.10" ); BusinessmenAndOrder bao29 = new BusinessmenAndOrder( "商家订单29" , "178.75" , "595.65" , "204.53" , "619.03" ); BusinessmenAndOrder bao30 = new BusinessmenAndOrder( "商家订单30" , "97.72" , "564.24" , "640.4" , "556.01" ); BusinessmenAndOrder bao31 = new BusinessmenAndOrder( "商家订单31" , "628.48" , "260.59" , "125.86" , "497.34" ); BusinessmenAndOrder bao32 = new BusinessmenAndOrder( "商家订单32" , "336.45" , "364.88" , "439.55" , "458.59" ); BusinessmenAndOrder bao33 = new BusinessmenAndOrder( "商家订单33" , "228.96" , "268.38" , "239.37" , "559.08" ); BusinessmenAndOrder bao34 = new BusinessmenAndOrder( "商家订单34" , "153.41" , "291.50" , "257.09" , "489.24" ); BusinessmenAndOrder bao35 = new BusinessmenAndOrder( "商家订单35" , "136.83" , "363.03" , "276.14" , "168.20" ); BusinessmenAndOrder bao36 = new BusinessmenAndOrder( "商家订单36" , "446.76" , "216.91" , "465.01" , "283.61" ); BusinessmenAndOrder bao37 = new BusinessmenAndOrder( "商家订单37" , "527.41" , "674.78" , "158.30" , "528.38" ); BusinessmenAndOrder bao38 = new BusinessmenAndOrder( "商家订单38" , "637.48" , "549.33" , "191.20" , "591.10" ); BusinessmenAndOrder bao39 = new BusinessmenAndOrder( "商家订单39" , "637.48" , "549.33" , "291.20" , "491.10" ); BusinessmenAndOrder bao40 = new BusinessmenAndOrder( "商家订单40" , "637.48" , "549.33" , "691.20" , "291.10" ); |
然后将商家和订单加入到集合中。
12345678910111213141516171819202122232425262728293031323334353637383940baoList.add(bao1);
baoList.add(bao2);
baoList.add(bao3);
baoList.add(bao4);
baoList.add(bao5);
baoList.add(bao6);
baoList.add(bao7);
baoList.add(bao8);
baoList.add(bao9);
baoList.add(bao10);
baoList.add(bao11);
baoList.add(bao12);
baoList.add(bao13);
baoList.add(bao14);
baoList.add(bao15);
baoList.add(bao16);
baoList.add(bao17);
baoList.add(bao18);
baoList.add(bao19);
baoList.add(bao20);
baoList.add(bao21);
baoList.add(bao22);
baoList.add(bao23);
baoList.add(bao24);
baoList.add(bao25);
baoList.add(bao26);
baoList.add(bao27);
baoList.add(bao28);
baoList.add(bao29);
baoList.add(bao30);
baoList.add(bao31);
baoList.add(bao32);
baoList.add(bao33);
baoList.add(bao34);
baoList.add(bao35);
baoList.add(bao36);
baoList.add(bao37);
baoList.add(bao38);
baoList.add(bao39);
baoList.add(bao40);
然后将商家和订单加入到集合中。
接着模拟骑士,假设骑士位置散落在不同的坐标点。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | public class Driver { private String driverId; //骑士编号 private String driverx; //骑士坐标x private String drivery; //骑士坐标y public Driver(){ } public Driver(String driverId,String driverx,String drivery){ this .driverId=driverId; this .driverx=driverx; this .drivery=drivery; } public String getDriverId() { return driverId; } public void setDriverId(String driverId) { this .driverId = driverId; } public String getDriverx() { return driverx; } public void setDriverx(String driverx) { this .driverx = driverx; } public String getDrivery() { return drivery; } public void setDrivery(String drivery) { this .drivery = drivery; } } |
模拟8个骑士
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | // 模拟骑士 List<Driver> driveList = new ArrayList<Driver>(); Driver driver1 = new Driver( "driveA" , "137.50" , "575.78" ); Driver driver2 = new Driver( "driveB" , "151.04" , "534.10" ); Driver driver3 = new Driver( "driveC" , "137.28" , "558.01" ); Driver driver4 = new Driver( "driveD" , "127.41" , "634.78" ); Driver driver5 = new Driver( "driveE" , "46.76" , "285.75" ); Driver driver6 = new Driver( "driveF" , "176.76" , "485.75" ); Driver driver7 = new Driver( "driveG" , "386.76" , "405.75" ); Driver driver8 = new Driver( "driveH" , "246.76" , "685.75" ); driveList.add(driver1); driveList.add(driver2); driveList.add(driver3); driveList.add(driver4); driveList.add(driver5); driveList.add(driver6); driveList.add(driver7); driveList.add(driver8); |
将模拟数据代入算法
1 2 3 4 5 6 7 8 9 | List<DistributionSep> distList = new ArrayList<DistributionSep>(); distList = autoSeperateOrder(baoList, driveList); for (DistributionSep distribution : distList) { System. out .println( "配送人员 " +distribution.getDriverName()); List<OrderSort> orderSet = distribution.getDist(); for (OrderSort order : orderSet) { System. out .println(order.getOrder() + " " + order.getPors() + " " + order.getBussinessOrder()); } } |
结果查看
查看运行结果,可知,迭代了1024次,耗时10秒。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 2017-06-30 14:49:38,888 INFO [main] problem.VehicleRoutingProblem - setup problem: [fleetSize=FINITE][#jobs=40][#vehicles=8][#vehicleTypes=1][transportCost=[name=crowFlyCosts]][activityCosts=com.graphhopper.jsprit.core.problem.cost.WaitingTimeCosts@47d90b9e] 2017-06-30 14:49:38,970 INFO [main] algorithm.VehicleRoutingAlgorithm - algorithm starts: [maxIterations=2000] 2017-06-30 14:49:38,972 INFO [main] algorithm.InsertionInitialSolutionFactory - create initial solution 2017-06-30 14:49:39,823 INFO [main] algorithm.VehicleRoutingAlgorithm - iterations start 2017-06-30 14:49:39,825 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 1 2017-06-30 14:49:39,843 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 2 2017-06-30 14:49:39,910 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 4 2017-06-30 14:49:40,032 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 8 2017-06-30 14:49:40,142 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 16 2017-06-30 14:49:41,014 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 32 2017-06-30 14:49:41,194 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 64 2017-06-30 14:49:41,728 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 128 2017-06-30 14:49:42,439 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 256 2017-06-30 14:49:43,599 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 512 2017-06-30 14:49:45,723 INFO [main] algorithm.VehicleRoutingAlgorithm$Counter - iterations 1024 2017-06-30 14:49:49,703 INFO [main] algorithm.VehicleRoutingAlgorithm - iterations end at 2000 iterations 2017-06-30 14:49:49,703 INFO [main] algorithm.VehicleRoutingAlgorithm - took 10.732 seconds |
分配的结果及cost计算结果为:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 | +--------------------------------------------------------------------------------------------------------------------------------+ | detailed solution | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | route | vehicle | activity | job | arrTime | endTime | costs | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 1 | driveA | start | - | undef | 0 | 0 | | 1 | driveA | pickupShipment | 商家订单25 | 4 | 4 | 4 | | 1 | driveA | deliverShipment | 商家订单25 | 9 | 9 | 9 | | 1 | driveA | pickupShipment | 商家订单21 | 20 | 20 | 20 | | 1 | driveA | pickupShipment | 商家订单23 | 22 | 22 | 22 | | 1 | driveA | pickupShipment | 商家订单22 | 30 | 30 | 30 | | 1 | driveA | pickupShipment | 商家订单20 | 34 | 34 | 34 | | 1 | driveA | deliverShipment | 商家订单22 | 38 | 38 | 38 | | 1 | driveA | deliverShipment | 商家订单23 | 38 | 38 | 38 | | 1 | driveA | pickupShipment | 商家订单18 | 70 | 70 | 70 | | 1 | driveA | deliverShipment | 商家订单18 | 82 | 82 | 82 | | 1 | driveA | deliverShipment | 商家订单21 | 102 | 102 | 102 | | 1 | driveA | deliverShipment | 商家订单20 | 123 | 123 | 123 | | 1 | driveA | end | - | 123 | undef | 123 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 2 | driveB | start | - | undef | 0 | 0 | | 2 | driveB | pickupShipment | 商家订单7 | 24 | 24 | 24 | | 2 | driveB | deliverShipment | 商家订单7 | 42 | 42 | 42 | | 2 | driveB | pickupShipment | 商家订单19 | 68 | 68 | 68 | | 2 | driveB | deliverShipment | 商家订单19 | 70 | 70 | 70 | | 2 | driveB | pickupShipment | 商家订单15 | 96 | 96 | 96 | | 2 | driveB | deliverShipment | 商家订单15 | 104 | 104 | 104 | | 2 | driveB | end | - | 104 | undef | 104 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 3 | driveC | start | - | undef | 0 | 0 | | 3 | driveC | pickupShipment | 商家订单1 | 4 | 4 | 4 | | 3 | driveC | pickupShipment | 商家订单28 | 9 | 9 | 9 | | 3 | driveC | deliverShipment | 商家订单1 | 17 | 17 | 17 | | 3 | driveC | deliverShipment | 商家订单28 | 21 | 21 | 21 | | 3 | driveC | pickupShipment | 商家订单12 | 26 | 26 | 26 | | 3 | driveC | pickupShipment | 商家订单5 | 27 | 27 | 27 | | 3 | driveC | pickupShipment | 商家订单6 | 35 | 35 | 35 | | 3 | driveC | pickupShipment | 商家订单8 | 58 | 58 | 58 | | 3 | driveC | pickupShipment | 商家订单11 | 61 | 61 | 61 | | 3 | driveC | deliverShipment | 商家订单8 | 69 | 69 | 69 | | 3 | driveC | deliverShipment | 商家订单6 | 73 | 73 | 73 | | 3 | driveC | deliverShipment | 商家订单11 | 87 | 87 | 87 | | 3 | driveC | pickupShipment | 商家订单24 | 101 | 101 | 101 | | 3 | driveC | pickupShipment | 商家订单10 | 119 | 119 | 119 | | 3 | driveC | pickupShipment | 商家订单3 | 127 | 127 | 127 | | 3 | driveC | pickupShipment | 商家订单29 | 157 | 157 | 157 | | 3 | driveC | deliverShipment | 商家订单29 | 192 | 192 | 192 | | 3 | driveC | deliverShipment | 商家订单10 | 415 | 415 | 415 | | 3 | driveC | deliverShipment | 商家订单5 | 418 | 418 | 418 | | 3 | driveC | deliverShipment | 商家订单24 | 423 | 423 | 423 | | 3 | driveC | deliverShipment | 商家订单12 | 425 | 425 | 425 | | 3 | driveC | deliverShipment | 商家订单3 | 432 | 432 | 432 | | 3 | driveC | end | - | 432 | undef | 432 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 4 | driveD | start | - | undef | 0 | 0 | | 4 | driveD | pickupShipment | 商家订单27 | 0 | 0 | 0 | | 4 | driveD | pickupShipment | 商家订单9 | 10 | 10 | 10 | | 4 | driveD | pickupShipment | 商家订单13 | 55 | 55 | 55 | | 4 | driveD | deliverShipment | 商家订单27 | 66 | 66 | 66 | | 4 | driveD | deliverShipment | 商家订单9 | 78 | 78 | 78 | | 4 | driveD | pickupShipment | 商家订单14 | 107 | 107 | 107 | | 4 | driveD | pickupShipment | 商家订单30 | 132 | 132 | 132 | | 4 | driveD | deliverShipment | 商家订单14 | 182 | 182 | 182 | | 4 | driveD | deliverShipment | 商家订单13 | 233 | 233 | 233 | | 4 | driveD | pickupShipment | 商家订单37 | 596 | 596 | 596 | | 4 | driveD | deliverShipment | 商家订单30 | 760 | 760 | 760 | | 4 | driveD | pickupShipment | 商家订单40 | 768 | 768 | 768 | | 4 | driveD | pickupShipment | 商家订单39 | 768 | 768 | 768 | | 4 | driveD | pickupShipment | 商家订单38 | 768 | 768 | 768 | | 4 | driveD | pickupShipment | 商家订单2 | 971 | 971 | 971 | | 4 | driveD | deliverShipment | 商家订单40 | 1255 | 1255 | 1255 | | 4 | driveD | pickupShipment | 商家订单31 | 1325 | 1325 | 1325 | | 4 | driveD | deliverShipment | 商家订单39 | 1734 | 1734 | 1734 | | 4 | driveD | deliverShipment | 商家订单38 | 1875 | 1875 | 1875 | | 4 | driveD | deliverShipment | 商家订单2 | 1936 | 1936 | 1936 | | 4 | driveD | deliverShipment | 商家订单37 | 1972 | 1972 | 1972 | | 4 | driveD | deliverShipment | 商家订单31 | 2017 | 2017 | 2017 | | 4 | driveD | end | - | 2017 | undef | 2017 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 5 | driveE | start | - | undef | 0 | 0 | | 5 | driveE | pickupShipment | 商家订单35 | 119 | 119 | 119 | | 5 | driveE | pickupShipment | 商家订单34 | 192 | 192 | 192 | | 5 | driveE | pickupShipment | 商家订单33 | 271 | 271 | 271 | | 5 | driveE | deliverShipment | 商家订单35 | 382 | 382 | 382 | | 5 | driveE | pickupShipment | 商家订单36 | 559 | 559 | 559 | | 5 | driveE | deliverShipment | 商家订单36 | 628 | 628 | 628 | | 5 | driveE | deliverShipment | 商家订单34 | 921 | 921 | 921 | | 5 | driveE | deliverShipment | 商家订单33 | 993 | 993 | 993 | | 5 | driveE | end | - | 993 | undef | 993 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 6 | driveF | start | - | undef | 0 | 0 | | 6 | driveF | pickupShipment | 商家订单26 | 43 | 43 | 43 | | 6 | driveF | deliverShipment | 商家订单26 | 81 | 81 | 81 | | 6 | driveF | pickupShipment | 商家订单16 | 133 | 133 | 133 | | 6 | driveF | pickupShipment | 商家订单17 | 166 | 166 | 166 | | 6 | driveF | deliverShipment | 商家订单17 | 237 | 237 | 237 | | 6 | driveF | pickupShipment | 商家订单4 | 249 | 249 | 249 | | 6 | driveF | deliverShipment | 商家订单16 | 306 | 306 | 306 | | 6 | driveF | deliverShipment | 商家订单4 | 329 | 329 | 329 | | 6 | driveF | end | - | 329 | undef | 329 | +---------+----------------------+-----------------------+-----------------+-----------------+-----------------+-----------------+ | 7 | driveG | start | - | undef | 0 | 0 | | 7 | driveG | pickupShipment | 商家订单32 | 65 | 65 | 65 | | 7 | driveG | deliverShipment | 商家订单32 | 204 | 204 | 204 | | 7 | driveG | end | - | 204 | undef | 204 | +--------------------------------------------------------------------------------------------------------------------------------+ |
这样就可以得到
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | 配送人员 driveA 1 取 商家订单25 2 送 商家订单25 3 取 商家订单21 4 取 商家订单23 5 取 商家订单22 6 取 商家订单20 7 送 商家订单22 8 送 商家订单23 9 取 商家订单18 10 送 商家订单18 11 送 商家订单21 12 送 商家订单20 配送人员 driveB 1 取 商家订单7 2 送 商家订单7 3 取 商家订单19 4 送 商家订单19 5 取 商家订单15 6 送 商家订单15 配送人员 driveC 1 取 商家订单1 2 取 商家订单28 3 送 商家订单1 4 送 商家订单28 5 取 商家订单12 6 取 商家订单5 7 取 商家订单6 8 取 商家订单8 9 取 商家订单11 10 送 商家订单8 11 送 商家订单6 12 送 商家订单11 13 取 商家订单24 14 取 商家订单10 15 取 商家订单3 16 取 商家订单29 17 送 商家订单29 18 送 商家订单10 19 送 商家订单5 20 送 商家订单24 21 送 商家订单12 22 送 商家订单3 配送人员 driveD 1 取 商家订单27 2 取 商家订单9 3 取 商家订单13 4 送 商家订单27 5 送 商家订单9 6 取 商家订单14 7 取 商家订单30 8 送 商家订单14 9 送 商家订单13 10 取 商家订单37 11 送 商家订单30 12 取 商家订单40 13 取 商家订单39 14 取 商家订单38 15 取 商家订单2 16 送 商家订单40 17 取 商家订单31 18 送 商家订单39 19 送 商家订单38 20 送 商家订单2 21 送 商家订单37 22 送 商家订单31 配送人员 driveE 1 取 商家订单35 2 取 商家订单34 3 取 商家订单33 4 送 商家订单35 5 取 商家订单36 6 送 商家订单36 7 送 商家订单34 8 送 商家订单33 配送人员 driveF 1 取 商家订单26 2 送 商家订单26 3 取 商家订单16 4 取 商家订单17 5 送 商家订单17 6 取 商家订单4 7 送 商家订单16 8 送 商家订单4 配送人员 driveG 1 取 商家订单32 2 送 商家订单32 |
配送人员的配送顺序。
总结
目前算法中使用的是欧式距离来进行两个点之间距离的计算,运算的时间随着单子数量的增加会加长,并且在某些情况下还会有很多的约束条件,这些都是下一步算法需要改进的重点。
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