diff --git a/README.md b/README.md index 98587d9..61ad886 100644 --- a/README.md +++ b/README.md @@ -1 +1,23 @@ -# 20260116 美赛模拟 食物分发 +# 20260116 美赛模拟：食物分发（MFP） + +本仓库包含对 2019 年 MFP 站点数据的频次分配（任务一）与全年排班优化（任务二）脚本。 +核心数据文件：`prob/MFP Regular Sites 2019.xlsx`。 + +## Task 1: 频次分配（Visit Frequency Allocation） + +目标：在总车次约束下，为每个站点分配年度访问次数 `f_i`，并评估有效性/公平性（含最低10%平均、基尼系数等）。 + +- 运行：`python3 kmin_effectiveness.py` +- 输出（写入 `data/`）： + - `data/kmin_effectiveness.png`：k_min 与指标曲线图 + - `data/kmin_effectiveness_data.csv`：每个 `k_min` 的汇总指标 + 各站点 `visits_01..visits_N` + - `data/kmin_effectiveness_sites.csv`：`visits_XX` 与站点名称/顺序映射 + +说明：`kmin_effectiveness.py` 当前使用 Monte Carlo（引入 `StDev(Demand per Visit)`）对有效性做多次模拟平均。 + +## Scheduling (Step 2) + +Optimize a 365-day schedule with at most 2 visits per day and minimum gap constraints: + +- `python3 scheduling_optimization.py --days 365 --daily-capacity 2 --gap-min 14` +- Outputs are written to `data/` (e.g., `data/schedule_optimized_kmin6.8_gap14.csv`), using `data/kmin_effectiveness_data.csv` as the frequency source. diff --git a/data/kmin_effectiveness.png b/data/kmin_effectiveness.png index e960552..3c5b0d0 100644 Binary files a/data/kmin_effectiveness.png and b/data/kmin_effectiveness.png differ diff --git a/data/kmin_effectiveness_data.csv b/data/kmin_effectiveness_data.csv index 6089440..25700d5 100644 --- a/data/kmin_effectiveness_data.csv +++ b/data/kmin_effectiveness_data.csv @@ -1,92 +1,92 @@ k_min,effectiveness,min_eff,bottom10_eff,gini_eff,std_eff,unmet,waste,total_served,total_demand,serve_ratio,visits_01,visits_02,visits_03,visits_04,visits_05,visits_06,visits_07,visits_08,visits_09,visits_10,visits_11,visits_12,visits_13,visits_14,visits_15,visits_16,visits_17,visits_18,visits_19,visits_20,visits_21,visits_22,visits_23,visits_24,visits_25,visits_26,visits_27,visits_28,visits_29,visits_30,visits_31,visits_32,visits_33,visits_34,visits_35,visits_36,visits_37,visits_38,visits_39,visits_40,visits_41,visits_42,visits_43,visits_44,visits_45,visits_46,visits_47,visits_48,visits_49,visits_50,visits_51,visits_52,visits_53,visits_54,visits_55,visits_56,visits_57,visits_58,visits_59,visits_60,visits_61,visits_62,visits_63,visits_64,visits_65,visits_66,visits_67,visits_68,visits_69,visits_70 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a/data/schedule_optimized_kmin6.8_gap14.csv b/data/schedule_optimized_kmin6.8_gap14.csv new file mode 100644 index 0000000..7663e3d --- /dev/null +++ b/data/schedule_optimized_kmin6.8_gap14.csv @@ -0,0 +1,366 @@ +day,site1_idx,site1_name,site2_idx,site2_name +1,58,MFP Windsor,69,MFP Avoca +2,34,MFP Saint Mary Recreation Center,35,MFP College Corning Community College +3,36,MFP College TC3 -College,52,MFP Owego VFW +4,51,MFP Woodhull,63,MFP Colesville +5,45,MFP Deposit,57,MFP American Legion - Binghamton +6,50,MFP Boys and Girls Club,56,MFP Reach for Christ Church Freeville +7,28,MFP Troupsburg,33,MFP Danby +8,37,MFP Montour Falls-Schuyler County Human Services Complex,40,MFP Birnie Transportation Services +9,11,MFP Senior - Conifer Village,65,MFP Rathbone +10,1,MFP Senior - Woodsedge Apartments,49,MFP Campbell +11,62,MFP Rehoboth Deliverance Ministry,67,MFP The Love Church +12,24,MFP Senior - Titus Towers,64,MFP Richford +13,44,MFP Conklin- Maines Community Center,59,MFP Whitney Point 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Christ Church Freeville +225,62,MFP Rehoboth Deliverance Ministry,68,MFP Endwell United Methodist Church +226,34,MFP Saint Mary Recreation Center,44,MFP Conklin- Maines Community Center +227,38,MFP Millport,63,MFP Colesville +228,4,MFP Senior - Wells Apartments,16,MFP Senior - Long Meadow Senior Housing +229,6,MFP Senior - Park Terrace Congregate Apartments,14,MFP Senior - North Shore Towers +230,52,MFP Owego VFW,64,MFP Richford +231,5,MFP Senior - Lincoln Court,24,MFP Senior - Titus Towers +232,19,MFP Senior - Metro Plaza Apartments,23,MFP Senior - Flannery +233,21,MFP Nichols-The Creamery,32,MFP Bradford +234,2,MFP Senior - Harry L Apartments,39,MFP Beaver Dams +235,15,MFP Senior - Village Square/Manor,46,MFP Erin +236,30,MFP College Ithaca College,43,MFP Canisteo +237,35,MFP College Corning Community College,60,MFP Redeemer Lutheran Church +238,40,MFP Birnie Transportation Services,47,MFP Lansing +239,27,MFP Schuyler Outreach,66,MFP Bath +240,50,MFP Boys and Girls Club,61,MFP Lindley +241,22,MFP Senior - Corning Senior Center,65,MFP Rathbone +242,59,MFP Whitney Point,69,MFP Avoca +243,17,MFP Senior - East Hill Senior Living,25,MFP Senior - Villa Serene +244,20,MFP Senior - Bragg,33,MFP Danby +245,36,MFP College TC3 -College,45,MFP Deposit +246,49,MFP Campbell,58,MFP Windsor +247,16,MFP Senior - Long Meadow Senior Housing,41,MFP Prattsburgh +248,26,MFP Senior - Dayspring,32,MFP Bradford +249,15,MFP Senior - Village Square/Manor,29,MFP Senior - CFS Lakeview +250,8,MFP Senior - Jefferson Village,57,MFP American Legion - Binghamton +251,31,MFP Lamphear Court,60,MFP Redeemer Lutheran Church +252,54,MFP Van Etten,67,MFP The Love Church +253,28,MFP Troupsburg,55,MFP Wayland +254,12,MFP Senior - Carpenter Apartments,62,MFP Rehoboth Deliverance Ministry +255,63,MFP Colesville,68,MFP Endwell United Methodist Church +256,3,MFP Senior - Cayuga Meadows,56,MFP Reach for Christ Church Freeville +257,17,MFP Senior - East Hill Senior Living,69,MFP Avoca +258,7,MFP Senior - Ellis Hollow,47,MFP Lansing +259,34,MFP Saint Mary Recreation Center,48,MFP Salvation Army Ithaca +260,1,MFP Senior - Woodsedge Apartments,42,MFP First Assembly Of God Church +261,52,MFP Owego VFW,66,MFP Bath +262,11,MFP Senior - Conifer Village,64,MFP Richford +263,10,MFP Senior - Addison Place Apartments,39,MFP Beaver Dams +264,30,MFP College Ithaca College,53,MFP Tuscarora +265,13,"MFP Senior - Elizabeth Square, Waverly",46,MFP Erin +266,15,MFP Senior - Village Square/Manor,40,MFP Birnie Transportation Services +267,35,MFP College Corning Community College,43,MFP Canisteo +268,18,"MFP Senior - Northern Broome Senior Center, Whitney Point",65,MFP Rathbone +269,24,MFP Senior - Titus Towers,59,MFP Whitney Point +270,21,MFP Nichols-The Creamery,44,MFP Conklin- Maines Community Center +271,61,MFP Lindley,70,MFP Waverly +272,23,MFP Senior - Flannery,50,MFP Boys and Girls Club +273,60,MFP Redeemer Lutheran Church,67,MFP The Love Church +274,19,MFP Senior - Metro Plaza Apartments,27,MFP Schuyler Outreach +275,38,MFP Millport,49,MFP Campbell +276,37,MFP Montour Falls-Schuyler County Human Services Complex,51,MFP Woodhull +277,48,MFP Salvation Army Ithaca,68,MFP Endwell United Methodist Church +278,5,MFP Senior - Lincoln Court,45,MFP Deposit +279,6,MFP Senior - Park Terrace Congregate Apartments,69,MFP Avoca +280,36,MFP College TC3 -College,57,MFP American Legion - Binghamton +281,4,MFP Senior - Wells Apartments,55,MFP Wayland +282,14,MFP Senior - North Shore Towers,22,MFP Senior - Corning Senior Center +283,2,MFP Senior - Harry L Apartments,62,MFP Rehoboth Deliverance Ministry +284,58,MFP Windsor,66,MFP Bath +285,29,MFP Senior - CFS Lakeview,41,MFP Prattsburgh +286,54,MFP Van Etten,56,MFP Reach for Christ Church Freeville +287,64,MFP Richford,70,MFP Waverly +288,25,MFP Senior - Villa Serene,33,MFP Danby +289,28,MFP Troupsburg,63,MFP Colesville +290,7,MFP Senior - Ellis Hollow,61,MFP Lindley +291,20,MFP Senior - Bragg,32,MFP Bradford +292,16,MFP Senior - Long Meadow Senior Housing,52,MFP Owego VFW +293,26,MFP Senior - Dayspring,42,MFP First Assembly Of God Church +294,17,MFP Senior - East Hill Senior Living,43,MFP Canisteo +295,53,MFP Tuscarora,60,MFP Redeemer Lutheran Church +296,35,MFP College Corning Community College,67,MFP The Love Church +297,9,MFP Senior - Springview Apartments,39,MFP Beaver Dams +298,8,MFP Senior - Jefferson Village,50,MFP Boys and Girls Club +299,31,MFP Lamphear Court,40,MFP Birnie Transportation Services +300,12,MFP Senior - Carpenter Apartments,65,MFP Rathbone +301,44,MFP Conklin- Maines Community Center,68,MFP Endwell United Methodist Church +302,34,MFP Saint Mary Recreation Center,66,MFP Bath +303,18,"MFP Senior - Northern Broome Senior Center, Whitney Point",59,MFP Whitney Point +304,21,MFP Nichols-The Creamery,69,MFP Avoca +305,37,MFP Montour Falls-Schuyler County Human Services Complex,38,MFP Millport +306,30,MFP College Ithaca College,62,MFP Rehoboth Deliverance Ministry +307,48,MFP Salvation Army Ithaca,70,MFP Waverly +308,45,MFP Deposit,57,MFP American Legion - Binghamton +309,15,MFP Senior - Village Square/Manor,49,MFP Campbell +310,55,MFP Wayland,64,MFP Richford +311,41,MFP Prattsburgh,51,MFP Woodhull +312,3,MFP Senior - Cayuga Meadows,13,"MFP Senior - Elizabeth Square, Waverly" +313,46,MFP Erin,47,MFP Lansing +314,10,MFP Senior - Addison Place Apartments,27,MFP Schuyler Outreach +315,11,MFP Senior - Conifer Village,63,MFP Colesville +316,6,MFP Senior - Park Terrace Congregate Apartments,29,MFP Senior - CFS Lakeview +317,23,MFP Senior - Flannery,24,MFP Senior - Titus Towers +318,17,MFP Senior - East Hill Senior Living,69,MFP Avoca +319,56,MFP Reach for Christ Church Freeville,61,MFP Lindley +320,19,MFP Senior - Metro Plaza Apartments,54,MFP Van Etten +321,58,MFP Windsor,67,MFP The Love Church +322,22,MFP Senior - Corning Senior Center,53,MFP Tuscarora +323,31,MFP Lamphear Court,66,MFP Bath +324,1,MFP Senior - Woodsedge Apartments,52,MFP Owego VFW +325,2,MFP Senior - Harry L Apartments,33,MFP Danby +326,43,MFP Canisteo,65,MFP Rathbone +327,60,MFP Redeemer Lutheran Church,70,MFP Waverly +328,28,MFP Troupsburg,32,MFP Bradford +329,25,MFP Senior - Villa Serene,59,MFP Whitney Point +330,5,MFP Senior - Lincoln Court,20,MFP Senior - Bragg +331,44,MFP Conklin- Maines Community Center,50,MFP Boys and Girls Club +332,26,MFP Senior - Dayspring,40,MFP Birnie Transportation Services +333,39,MFP Beaver Dams,68,MFP Endwell United Methodist Church +334,4,MFP Senior - Wells Apartments,62,MFP Rehoboth Deliverance Ministry +335,36,MFP College TC3 -College,42,MFP First Assembly Of God Church +336,16,MFP Senior - Long Meadow Senior Housing,35,MFP College Corning Community College +337,6,MFP Senior - Park Terrace Congregate Apartments,57,MFP American Legion - Binghamton +338,34,MFP Saint Mary Recreation Center,48,MFP Salvation Army Ithaca +339,8,MFP Senior - Jefferson Village,38,MFP Millport +340,49,MFP Campbell,69,MFP Avoca +341,37,MFP Montour Falls-Schuyler County Human Services Complex,45,MFP Deposit +342,30,MFP College Ithaca College,51,MFP Woodhull +343,21,MFP Nichols-The Creamery,66,MFP Bath +344,46,MFP Erin,64,MFP Richford +345,7,MFP Senior - Ellis Hollow,41,MFP Prattsburgh +346,54,MFP Van Etten,63,MFP Colesville +347,47,MFP Lansing,67,MFP The Love Church +348,56,MFP Reach for Christ Church Freeville,61,MFP Lindley +349,2,MFP Senior - Harry L Apartments,18,"MFP Senior - Northern Broome Senior Center, Whitney Point" +350,16,MFP Senior - Long Meadow Senior Housing,70,MFP Waverly +351,9,MFP Senior - Springview Apartments,12,MFP Senior - Carpenter Apartments +352,58,MFP Windsor,65,MFP Rathbone +353,31,MFP Lamphear Court,53,MFP Tuscarora +354,14,MFP Senior - North Shore Towers,24,MFP Senior - Titus Towers +355,8,MFP Senior - Jefferson Village,15,MFP Senior - Village Square/Manor +356,23,MFP Senior - Flannery,59,MFP Whitney Point +357,62,MFP Rehoboth Deliverance Ministry,68,MFP Endwell United Methodist Church +358,5,MFP Senior - Lincoln Court,44,MFP Conklin- Maines Community Center +359,6,MFP Senior - Park Terrace Congregate Apartments,33,MFP Danby +360,34,MFP Saint Mary Recreation Center,36,MFP College TC3 -College +361,29,MFP Senior - CFS Lakeview,69,MFP Avoca +362,17,MFP Senior - East Hill Senior Living,66,MFP Bath +363,3,MFP Senior - Cayuga Meadows,10,MFP Senior - Addison Place Apartments +364,16,MFP Senior - Long Meadow Senior Housing,28,MFP Troupsburg +365,2,MFP Senior - Harry L Apartments,12,MFP Senior - Carpenter Apartments diff --git a/data/site_visits_kmin6.8_gap14.csv b/data/site_visits_kmin6.8_gap14.csv new file mode 100644 index 0000000..755f33d --- /dev/null +++ b/data/site_visits_kmin6.8_gap14.csv @@ -0,0 +1,71 @@ +site_idx,site_name,f_i,visit_days,gaps,min_gap,avg_gap +1,MFP Senior - Woodsedge Apartments,6,10;64;129;193;260;324,54;65;64;67;64,54,62.8 +2,MFP Senior - Harry L Apartments,6,204;234;283;325;349;365,30;49;42;24;16,16,32.2 +3,MFP Senior - Cayuga Meadows,7,18;70;121;204;256;312;363,52;51;83;52;56;51,51,57.5 +4,MFP Senior - Wells Apartments,7,49;102;155;208;228;281;334,53;53;53;20;53;53,20,47.5 +5,MFP Senior - Lincoln Court,7,81;131;179;231;278;330;358,50;48;52;47;52;28,28,46.166666666666664 +6,MFP Senior - Park Terrace Congregate Apartments,7,138;161;229;279;316;337;359,23;68;50;37;21;22,21,36.833333333333336 +7,MFP Senior - Ellis Hollow,7,109;141;195;213;258;290;345,32;54;18;45;32;55,18,39.333333333333336 +8,MFP Senior - Jefferson Village,7,101;153;202;250;298;339;355,52;49;48;48;41;16,16,42.333333333333336 +9,MFP Senior - Springview Apartments,7,47;99;117;170;221;297;351,52;18;53;51;76;54,18,50.666666666666664 +10,MFP Senior - Addison Place Apartments,7,47;98;151;211;263;314;363,51;53;60;52;51;49,49,52.666666666666664 +11,MFP Senior - Conifer Village,7,9;59;114;167;217;262;315,50;55;53;50;45;53,45,51.0 +12,MFP Senior - Carpenter Apartments,7,100;152;202;254;300;351;365,52;50;52;46;51;14,14,44.166666666666664 +13,"MFP Senior - Elizabeth Square, Waverly",7,17;76;130;166;215;265;312,59;54;36;49;50;47,36,49.166666666666664 +14,MFP Senior - North Shore Towers,7,90;141;194;209;229;282;354,51;53;15;20;53;72,15,44.0 +15,MFP Senior - Village Square/Manor,8,119;164;189;235;249;266;309;355,45;25;46;14;17;43;46,14,33.714285714285715 +16,MFP Senior - Long Meadow Senior Housing,8,147;184;228;247;292;336;350;364,37;44;19;45;44;14;14,14,31.0 +17,MFP Senior - East Hill Senior Living,8,93;135;183;243;257;294;318;362,42;48;60;14;37;24;44,14,38.42857142857143 +18,"MFP Senior - Northern Broome Senior Center, Whitney Point",8,86;134;187;203;218;268;303;349,48;53;16;15;50;35;46,15,37.57142857142857 +19,MFP Senior - Metro Plaza Apartments,8,51;65;85;132;179;232;274;320,14;20;47;47;53;42;46,14,38.42857142857143 +20,MFP Senior - Bragg,8,26;70;116;166;211;244;291;330,44;46;50;45;33;47;39,33,43.42857142857143 +21,MFP Nichols-The Creamery,9,23;60;104;145;186;233;270;304;343,37;44;41;41;47;37;34;39,34,40.0 +22,MFP Senior - Corning Senior Center,9,19;58;80;125;163;198;241;282;322,39;22;45;38;35;43;41;40,22,37.875 +23,MFP Senior - Flannery,9,48;91;128;146;185;232;272;317;356,43;37;18;39;47;40;45;39,18,38.5 +24,MFP Senior - Titus Towers,9,12;50;86;149;195;231;269;317;354,38;36;63;46;36;38;48;37,36,42.75 +25,MFP Senior - Villa Serene,9,25;65;121;159;203;218;243;288;329,40;56;38;44;15;25;45;41,15,38.0 +26,MFP Senior - Dayspring,9,16;56;97;137;173;216;248;293;332,40;41;40;36;43;32;45;39,32,39.5 +27,MFP Schuyler Outreach,9,24;63;105;127;158;199;239;274;314,39;42;22;31;41;40;35;40,22,36.25 +28,MFP Troupsburg,10,7;43;61;147;181;217;253;289;328;364,36;18;86;34;36;36;36;39;36,18,39.666666666666664 +29,MFP Senior - CFS Lakeview,10,38;75;107;143;176;207;249;285;316;361,37;32;36;33;31;42;36;31;45,31,35.888888888888886 +30,MFP College Ithaca College,10,31;72;100;135;168;201;236;264;306;342,41;28;35;33;33;35;28;42;36,28,34.55555555555556 +31,MFP Lamphear Court,10,34;74;108;142;178;216;251;299;323;353,40;34;34;36;38;35;48;24;30,24,35.44444444444444 +32,MFP Bradford,10,49;82;115;148;177;214;233;248;291;328,33;33;33;29;37;19;15;43;37,15,31.0 +33,MFP Danby,11,7;39;74;99;128;164;197;244;288;325;359,32;35;25;29;36;33;47;44;37;34,25,35.2 +34,MFP Saint Mary Recreation Center,11,2;33;72;107;143;188;226;259;302;338;360,31;39;35;36;45;38;33;43;36;22,22,35.8 +35,MFP College Corning Community College,11,2;35;71;103;136;172;201;237;267;296;336,33;36;32;33;36;29;36;30;29;40,29,33.4 +36,MFP College TC3 -College,11,3;31;60;84;113;154;206;245;280;335;360,28;29;24;29;41;52;39;35;55;25,24,35.7 +37,MFP Montour Falls-Schuyler County Human Services Complex,11,8;23;57;103;120;151;184;224;276;305;341,15;34;46;17;31;33;40;52;29;36,15,33.3 +38,MFP Millport,11,14;29;63;96;122;156;187;227;275;305;339,15;34;33;26;34;31;40;48;30;34,15,32.5 +39,MFP Beaver Dams,11,20;48;83;112;142;157;176;234;263;297;333,28;35;29;30;15;19;58;29;34;36,15,31.3 +40,MFP Birnie Transportation Services,11,8;41;55;88;139;169;207;238;266;299;332,33;14;33;51;30;38;31;28;33;33,14,32.4 +41,MFP Prattsburgh,11,16;51;78;105;137;171;213;247;285;311;345,35;27;27;32;34;42;34;38;26;34,26,32.9 +42,MFP First Assembly Of God Church,11,21;53;79;106;133;162;189;223;260;293;335,32;26;27;27;29;27;34;37;33;42,26,31.4 +43,MFP Canisteo,11,22;40;77;91;155;181;210;236;267;294;326,18;37;14;64;26;29;26;31;27;32,14,30.4 +44,MFP Conklin- Maines Community Center,12,13;34;62;95;131;168;196;226;270;301;331;358,21;28;33;36;37;28;30;44;31;30;27,21,31.363636363636363 +45,MFP Deposit,12,5;33;56;94;120;148;178;212;245;278;308;341,28;23;38;26;28;30;34;33;33;30;33,23,30.545454545454547 +46,MFP Erin,12,28;44;61;93;117;146;172;200;235;265;313;344,16;17;32;24;29;26;28;35;30;48;31,16,28.727272727272727 +47,MFP Lansing,12,21;38;71;87;118;145;175;205;238;258;313;347,17;33;16;31;27;30;30;33;20;55;34,16,29.636363636363637 +48,MFP Salvation Army Ithaca,12,15;29;52;82;112;144;190;208;259;277;307;338,14;23;30;30;32;46;18;51;18;30;31,14,29.363636363636363 +49,MFP Campbell,12,10;35;66;96;122;150;180;220;246;275;309;340,25;31;30;26;28;30;40;26;29;34;31,25,30.0 +50,MFP Boys and Girls Club,12,6;36;64;92;119;158;182;206;240;272;298;331,30;28;28;27;39;24;24;34;32;26;33,24,29.545454545454547 +51,MFP Woodhull,12,4;32;46;69;94;123;160;191;222;276;311;342,28;14;23;25;29;37;31;31;54;35;31,14,30.727272727272727 +52,MFP Owego VFW,12,3;26;42;73;104;140;171;199;230;261;292;324,23;16;31;31;36;31;28;31;31;31;32,16,29.181818181818183 +53,MFP Tuscarora,12,14;40;68;92;118;154;188;219;264;295;322;353,26;28;24;26;36;34;31;45;31;27;31,24,30.818181818181817 +54,MFP Van Etten,12,15;45;68;84;110;133;170;200;252;286;320;346,30;23;16;26;23;37;30;52;34;34;26,16,30.09090909090909 +55,MFP Wayland,12,20;41;57;79;110;126;161;192;219;253;281;310,21;16;22;31;16;35;31;27;34;28;29,16,26.363636363636363 +56,MFP Reach for Christ Church Freeville,12,6;24;53;78;127;160;194;224;256;286;319;348,18;29;25;49;33;34;30;32;30;33;29,18,31.09090909090909 +57,MFP American Legion - Binghamton,12,5;28;54;75;132;165;190;220;250;280;308;337,23;26;21;57;33;25;30;30;30;28;29,21,30.181818181818183 +58,MFP Windsor,12,1;27;54;89;114;150;180;222;246;284;321;352,26;27;35;25;36;30;42;24;38;37;31,24,31.90909090909091 +59,MFP Whitney Point,13,13;42;66;89;116;159;186;223;242;269;303;329;356,29;24;23;27;43;27;37;19;27;34;26;27,19,28.583333333333332 +60,MFP Redeemer Lutheran Church,13,17;37;59;80;101;129;157;183;237;251;273;295;327,20;22;21;21;28;28;26;54;14;22;22;32,14,25.833333333333332 +61,MFP Lindley,13,45;67;81;95;123;144;175;212;240;271;290;319;348,22;14;14;28;21;31;37;28;31;19;29;29,14,25.25 +62,MFP Rehoboth Deliverance Ministry,13,11;32;88;109;136;173;193;225;254;283;306;334;357,21;56;21;27;37;20;32;29;29;23;28;23,20,28.833333333333332 +63,MFP Colesville,13,4;27;52;77;106;138;174;198;227;255;289;315;346,23;25;25;29;32;36;24;29;28;34;26;31,23,28.5 +64,MFP Richford,14,12;39;62;87;111;130;152;169;210;230;262;287;310;344,27;23;25;24;19;22;17;41;20;32;25;23;34,17,25.53846153846154 +65,MFP Rathbone,14,9;30;58;85;108;124;162;192;215;241;268;300;326;352,21;28;27;23;16;38;30;23;26;27;32;26;26,16,26.384615384615383 +66,MFP Bath,15,22;46;67;90;113;165;191;214;239;261;284;302;323;343;362,24;21;23;23;52;26;23;25;22;23;18;21;20;19,18,24.285714285714285 +67,MFP The Love Church,15,11;30;44;73;98;115;134;163;182;209;252;273;296;321;347,19;14;29;25;17;19;29;19;27;43;21;23;25;26,14,24.0 +68,MFP Endwell United Methodist Church,15,18;36;50;76;102;124;149;174;196;225;255;277;301;333;357,18;14;26;26;22;25;25;22;29;30;22;24;32;24,14,24.214285714285715 +69,MFP Avoca,16,1;25;43;126;140;156;177;197;221;242;257;279;304;318;340;361,24;18;83;14;16;21;20;24;21;15;22;25;14;22;21,14,24.0 +70,MFP Waverly,18,19;37;55;69;83;97;111;125;139;153;167;185;205;271;287;307;327;350,18;18;14;14;14;14;14;14;14;14;18;20;66;16;20;20;23,14,19.470588235294116 diff --git a/kmin_effectiveness.py b/kmin_effectiveness.py index 94428dc..987fab6 100644 --- a/kmin_effectiveness.py +++ b/kmin_effectiveness.py @@ -24,11 +24,11 @@ except ModuleNotFoundError: # 参数 C_OPT = 250 -N_TOTAL = 722 -ALPHA = 0.5 +N_TOTAL = 730 +ALPHA = 0.6 BETA = 0.2 N_SIMS = 2000 -RANDOM_SEED = 42 +RANDOM_SEED = 606 OUTPUT_DIR = "data" diff --git a/scheduling_optimization.py b/scheduling_optimization.py new file mode 100644 index 0000000..fc03079 --- /dev/null +++ b/scheduling_optimization.py @@ -0,0 +1,295 @@ +""" +Scheduling Optimization (CP-SAT) + +Goal: +- Given required visit frequencies f_i for each site i, create a 365-day schedule + with at most 2 visits per day, and visits per site spaced as regularly as possible. + +Defaults match the current repo setup: +- Days T = 365, daily capacity = 2, Gap_min = 14 days +- Frequencies are read from `data/kmin_effectiveness_data.csv` (columns visits_01..visits_N) + using the selection rule: first row where gini_eff < 0.2, otherwise best effectiveness. + +Outputs (written to data/): +- schedule_optimized_kminX.X_gap14.csv (wide per-day table, 2 slots) +- schedule_long_kminX.X_gap14.csv (long table, one row per visit) +- site_visits_kminX.X_gap14.csv (per-site visit days and intervals) +""" + +from __future__ import annotations + +import argparse +import os +from dataclasses import dataclass +from typing import List, Optional, Tuple + +import pandas as pd + + +OUTPUT_DIR = "data" +DEFAULT_RESULTS_CSV = os.path.join(OUTPUT_DIR, "kmin_effectiveness_data.csv") +DEFAULT_SITES_CSV = os.path.join(OUTPUT_DIR, "kmin_effectiveness_sites.csv") + + +@dataclass(frozen=True) +class SchedulingInputs: + days: int + daily_capacity: int + gap_min: int + k_min: float + site_names: List[str] + frequencies: List[int] + + +def _select_kmin_row(df: pd.DataFrame, k_min: Optional[float]) -> Tuple[float, pd.Series]: + if k_min is not None: + idx = (df["k_min"] - float(k_min)).abs().idxmin() + row = df.loc[idx] + return float(row["k_min"]), row + + candidates = df.loc[df["gini_eff"] < 0.2] + if len(candidates) > 0: + row = candidates.iloc[0] + return float(row["k_min"]), row + + idx = df["effectiveness"].idxmax() + row = df.loc[idx] + return float(row["k_min"]), row + + +def load_inputs( + *, + results_csv: str = DEFAULT_RESULTS_CSV, + sites_csv: str = DEFAULT_SITES_CSV, + days: int = 365, + daily_capacity: int = 2, + gap_min: int = 14, + k_min: Optional[float] = None, +) -> SchedulingInputs: + df_results = pd.read_csv(results_csv) + selected_k, row = _select_kmin_row(df_results, k_min) + + visit_cols = [c for c in df_results.columns if c.startswith("visits_")] + if not visit_cols: + raise ValueError(f"No visits_* columns found in {results_csv}") + + freqs = [int(row[c]) for c in visit_cols] + if any(f < 0 for f in freqs): + raise ValueError("Frequencies must be non-negative") + + df_sites = pd.read_csv(sites_csv) + # site_idx in files is 1-based, and matches visits_01.. ordering. + df_sites = df_sites.sort_values("site_idx") + site_names = df_sites["site_name"].astype(str).tolist() + if len(site_names) != len(freqs): + raise ValueError( + f"Site count mismatch: {len(site_names)} sites in {sites_csv}, {len(freqs)} frequencies in {results_csv}" + ) + + if days <= 0: + raise ValueError("days must be > 0") + if daily_capacity <= 0: + raise ValueError("daily_capacity must be > 0") + if gap_min < 1: + raise ValueError("gap_min must be >= 1") + + for i, f in enumerate(freqs, start=1): + if f >= 2 and gap_min * (f - 1) > (days - 1): + raise ValueError( + f"Infeasible for site {i}: f_i={f} with gap_min={gap_min} does not fit in {days} days." + ) + + return SchedulingInputs( + days=days, + daily_capacity=daily_capacity, + gap_min=gap_min, + k_min=selected_k, + site_names=site_names, + frequencies=freqs, + ) + + +def solve_schedule_cp_sat( + inputs: SchedulingInputs, + *, + time_limit_s: float = 60.0, + num_workers: Optional[int] = None, +) -> List[Tuple[int, int]]: + """ + Returns a list of (day, site_idx) visits, where day is 0-based and site_idx is 1-based. + """ + try: + from ortools.sat.python import cp_model + except ModuleNotFoundError as e: + raise RuntimeError( + "Missing dependency: ortools. Install with `pip install ortools` and rerun." + ) from e + + days = inputs.days + cap = inputs.daily_capacity + gap_min = inputs.gap_min + freqs = inputs.frequencies + + model = cp_model.CpModel() + + all_intervals = [] + visit_starts: List[List[cp_model.IntVar]] = [] + + for site_idx_1based, f_i in enumerate(freqs, start=1): + starts_i: List[cp_model.IntVar] = [] + for k in range(f_i): + start = model.NewIntVar(0, days - 1, f"s_{site_idx_1based}_{k}") + end = model.NewIntVar(1, days, f"e_{site_idx_1based}_{k}") + model.Add(end == start + 1) + interval = model.NewIntervalVar(start, 1, end, f"iv_{site_idx_1based}_{k}") + all_intervals.append(interval) + starts_i.append(start) + for k in range(f_i - 1): + model.Add(starts_i[k + 1] >= starts_i[k] + gap_min) + visit_starts.append(starts_i) + + # At most 2 trucks per day (each visit is a 1-day interval, demand=1). + model.AddCumulative(all_intervals, [1] * len(all_intervals), cap) + + # Objective: minimize total absolute deviation from ideal gap (days / f_i). + objective_terms = [] + for site_idx_1based, f_i in enumerate(freqs, start=1): + if f_i < 2: + continue + target_scaled = int(round((days * 100.0) / f_i)) + starts_i = visit_starts[site_idx_1based - 1] + for k in range(f_i - 1): + gap = model.NewIntVar(gap_min, days - 1, f"gap_{site_idx_1based}_{k}") + model.Add(gap == starts_i[k + 1] - starts_i[k]) + + diff = model.NewIntVar(-(days * 100), days * 100, f"diff_{site_idx_1based}_{k}") + model.Add(diff == gap * 100 - target_scaled) + + dev = model.NewIntVar(0, days * 100, f"dev_{site_idx_1based}_{k}") + model.AddAbsEquality(dev, diff) + objective_terms.append(dev) + + model.Minimize(sum(objective_terms) if objective_terms else 0) + + solver = cp_model.CpSolver() + solver.parameters.max_time_in_seconds = float(time_limit_s) + if num_workers is not None: + solver.parameters.num_search_workers = int(num_workers) + + status = solver.Solve(model) + if status not in (cp_model.OPTIMAL, cp_model.FEASIBLE): + raise RuntimeError(f"No feasible schedule found (status={status}). Try relaxing constraints.") + + visits: List[Tuple[int, int]] = [] + for site_idx_1based, starts_i in enumerate(visit_starts, start=1): + for start in starts_i: + visits.append((int(solver.Value(start)), site_idx_1based)) + + return visits + + +def write_outputs( + inputs: SchedulingInputs, + visits: List[Tuple[int, int]], +) -> None: + os.makedirs(OUTPUT_DIR, exist_ok=True) + + k_tag = f"{inputs.k_min:.1f}" + stem = f"kmin{k_tag}_gap{inputs.gap_min}" + + # Wide per-day schedule (two slots). + day_to_sites = {d: [] for d in range(inputs.days)} + for day0, site_idx in visits: + day_to_sites[day0].append(site_idx) + for d in range(inputs.days): + day_to_sites[d].sort() + + wide_rows = [] + for day0 in range(inputs.days): + slots = day_to_sites[day0] + s1 = slots[0] if len(slots) > 0 else "" + s2 = slots[1] if len(slots) > 1 else "" + n1 = inputs.site_names[s1 - 1] if s1 else "" + n2 = inputs.site_names[s2 - 1] if s2 else "" + wide_rows.append( + { + "day": day0 + 1, + "site1_idx": s1, + "site1_name": n1, + "site2_idx": s2, + "site2_name": n2, + } + ) + pd.DataFrame(wide_rows).to_csv(os.path.join(OUTPUT_DIR, f"schedule_optimized_{stem}.csv"), index=False) + + # Long schedule (one row per visit). + long_rows = [] + for day0, site_idx in sorted(visits): + long_rows.append( + { + "day": day0 + 1, + "site_idx": site_idx, + "site_name": inputs.site_names[site_idx - 1], + } + ) + pd.DataFrame(long_rows).to_csv(os.path.join(OUTPUT_DIR, f"schedule_long_{stem}.csv"), index=False) + + # Per-site visit days and intervals. + site_rows = [] + per_site = {i: [] for i in range(1, len(inputs.site_names) + 1)} + for day0, site_idx in visits: + per_site[site_idx].append(day0 + 1) + for site_idx in per_site: + per_site[site_idx].sort() + + for site_idx, days_list in per_site.items(): + gaps = [b - a for a, b in zip(days_list, days_list[1:])] + site_rows.append( + { + "site_idx": site_idx, + "site_name": inputs.site_names[site_idx - 1], + "f_i": inputs.frequencies[site_idx - 1], + "visit_days": ";".join(map(str, days_list)), + "gaps": ";".join(map(str, gaps)), + "min_gap": min(gaps) if gaps else "", + "avg_gap": (sum(gaps) / len(gaps)) if gaps else "", + } + ) + pd.DataFrame(site_rows).to_csv(os.path.join(OUTPUT_DIR, f"site_visits_{stem}.csv"), index=False) + + +def main() -> None: + parser = argparse.ArgumentParser(description="Optimize 365-day MFP schedule with CP-SAT.") + parser.add_argument("--results-csv", default=DEFAULT_RESULTS_CSV) + parser.add_argument("--sites-csv", default=DEFAULT_SITES_CSV) + parser.add_argument("--days", type=int, default=365) + parser.add_argument("--daily-capacity", type=int, default=2) + parser.add_argument("--gap-min", type=int, default=14) + parser.add_argument("--kmin", type=float, default=None, help="Pick the nearest k_min row from results CSV.") + parser.add_argument("--time-limit", type=float, default=60.0) + parser.add_argument("--workers", type=int, default=None) + args = parser.parse_args() + + inputs = load_inputs( + results_csv=args.results_csv, + sites_csv=args.sites_csv, + days=args.days, + daily_capacity=args.daily_capacity, + gap_min=args.gap_min, + k_min=args.kmin, + ) + + total_visits = sum(inputs.frequencies) + print( + f"Selected k_min={inputs.k_min:.1f}, sites={len(inputs.site_names)}, " + f"total_visits={total_visits}, capacity={inputs.days * inputs.daily_capacity}, gap_min={inputs.gap_min}" + ) + + visits = solve_schedule_cp_sat(inputs, time_limit_s=args.time_limit, num_workers=args.workers) + write_outputs(inputs, visits) + print(f"Saved schedule CSVs to `{OUTPUT_DIR}/` (k_min={inputs.k_min:.1f}).") + + +if __name__ == "__main__": + main() +