3.18. 追踪准入调度
病人护理准入调度(PAS) （也称为 letleting）计划，为每个受监管的病人分配获奖。在病人安排的期间，会分配给病人人为病人的病人。每个机构都属于一个房间，每个房间均属于一个部门。病人人为主办方的辅助日期得到修复。您只需要分配一个 bed。
这个问题比受限的数据集提供。当不需要分配所有计划实体时，最好分配所需数量的实体，而无需破坏硬限制。这称为受限规划。
硬限制：
-
不得将两个病人分配到同一晚上。weight:
-1000hard * conflictNightCount. -
房间可能会存在一些限制：只有人意，只是在同一晚上相同的 gender 或 nogender 限制。weight:
-50hard * nightCount. -
部门可以具有最短或最长期限。weight:
-100hard * nightCount. -
病人可能需要带有特定设备的空间。weight:
-50hard * nightCount.
中等限制：
-
除非 dataset 受限，否则给每个病人分配有一定的病人。weight:
-1medium * nightCount.
软限制：
-
病人可以为最大房间大小指定优先权，例如，如果病人想要单个房间。weight:
-8soft * nightCount. -
病人最好地分配给一个专门在病人医疗问题中的部门。weight:
-10soft * nightCount. 病人最好地分配给一个在病人类问题中特别存在的房间。weight:
-20soft * nightCount.-
房间特殊性应优先级 1。weight:
-10soft *(priority - 1)* nightCount.
-
房间特殊性应优先级 1。weight:
-
病人可以为具有特定设备的空间指定优先权。weight:
-20soft * nightCount.
问题是 Kaho 的 Patient Scheduling 中的一个变体，数据集来自真实世界的 Heury。
问题大小
overconstrained01 has 6 specialisms, 4 equipments, 1 departments, 25 rooms, 69 beds, 14 nights, 519 patients and 519 admissions with a search space of 10^958. testdata01 has 4 specialisms, 2 equipments, 4 departments, 98 rooms, 286 beds, 14 nights, 652 patients and 652 admissions with a search space of 10^1603. testdata02 has 6 specialisms, 2 equipments, 6 departments, 151 rooms, 465 beds, 14 nights, 755 patients and 755 admissions with a search space of 10^2015. testdata03 has 5 specialisms, 2 equipments, 5 departments, 131 rooms, 395 beds, 14 nights, 708 patients and 708 admissions with a search space of 10^1840. testdata04 has 6 specialisms, 2 equipments, 6 departments, 155 rooms, 471 beds, 14 nights, 746 patients and 746 admissions with a search space of 10^1995. testdata05 has 4 specialisms, 2 equipments, 4 departments, 102 rooms, 325 beds, 14 nights, 587 patients and 587 admissions with a search space of 10^1476. testdata06 has 4 specialisms, 2 equipments, 4 departments, 104 rooms, 313 beds, 14 nights, 685 patients and 685 admissions with a search space of 10^1711. testdata07 has 6 specialisms, 4 equipments, 6 departments, 162 rooms, 472 beds, 14 nights, 519 patients and 519 admissions with a search space of 10^1389. testdata08 has 6 specialisms, 4 equipments, 6 departments, 148 rooms, 441 beds, 21 nights, 895 patients and 895 admissions with a search space of 10^2368. testdata09 has 4 specialisms, 4 equipments, 4 departments, 105 rooms, 310 beds, 28 nights, 1400 patients and 1400 admissions with a search space of 10^3490. testdata10 has 4 specialisms, 4 equipments, 4 departments, 104 rooms, 308 beds, 56 nights, 1575 patients and 1575 admissions with a search space of 10^3922. testdata11 has 4 specialisms, 4 equipments, 4 departments, 107 rooms, 318 beds, 91 nights, 2514 patients and 2514 admissions with a search space of 10^6295. testdata12 has 4 specialisms, 4 equipments, 4 departments, 105 rooms, 310 beds, 84 nights, 2750 patients and 2750 admissions with a search space of 10^6856. testdata13 has 5 specialisms, 4 equipments, 5 departments, 125 rooms, 368 beds, 28 nights, 907 patients and 1109 admissions with a search space of 10^2847.
图 3.13. 域模型
