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Code_Sidang_Ulang
Commit 5bb9deb4 by Ari Whuandaniel Manurung
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Commitv6

parent 4bff5ec6
Showing with 192 additions and 65 deletions
List_city.csv
ID_City,City,Biaya
0,Pantai BUL BUL,10000
1,BUKIT travel Gibeon,10001
2,Pakkodian,10002
3,Taman Eden 100 Tobasa,10003
4,Water Park Tambunan,10004
5,Bukit Pahoda,10005
6,Bukit Senyum,10006
7,Air Terjun Pandumaan,10007
8,Long Beach,10008
9,PANTAI AGADON,10009
10,Situmurun Waterfall,10010
11,Simanimbo Waterfall,10011
12,Air Terjun Sigura Gura,10012
13,The Kaldera,10013
14,Museum T. B. Silalahi Center,10014
15,Bukit Tarabunga,10015
16,Pantai Meat,10016
17,Air Terjun Sialogo,10017
18,Air Terjun Siboruon,10018
19,Gunung Pangulubao,10019
20,Lumban Silintong,10020
21,Siregar Aek Nalas,10021
22,Pantai Janji Maria,10022
23,Balerong Onan Balige,10023
24,Dolok Tolong,10024
25,Pantai Pasir Putih Parparean,10025
26,Dolok Surungan,10026
27,Air Terjun Sampuran,10027
28,Air Terjun Morena,10028
29,Tornagodang,10029
30,Hatulian Beach,10030
31,Monumen Raja Sonakmalela,10031
32,Lumban Binanga Beach,10032
33,Pantai Pasifik Porsea,10033
34,Desa Adat Ragi Hotang,10034
35,Makam Raja Sisingamangaraja XII,10035
0,Pantai BUL BUL,0
1,BUKIT travel Gibeon,10000
2,Pakkodian,0
3,Taman Eden 100 Tobasa,10000
4,Water Park Tambunan,15000
5,Bukit Pahoda,0
6,Bukit Senyum,10000
7,Air Terjun Pandumaan,0
8,Long Beach,5000
9,PANTAI AGADON,0
10,Situmurun Waterfall,0
11,Simanimbo Waterfall,0
12,Air Terjun Sigura Gura,10000
13,The Kaldera,0
14,Museum T. B. Silalahi Center,10000
15,Bukit Tarabunga,0
16,Pantai Meat,0
17,Air Terjun Sialogo,0
18,Air Terjun Siboruon,0
19,Gunung Pangulubao,5000
20,Lumban Silintong,10000
21,Siregar Aek Nalas,5000
22,Pantai Janji Maria,0
23,Balerong Onan Balige,0
24,Dolok Tolong,0
25,Pantai Pasir Putih Parparean,0
26,Dolok Surungan,0
27,Air Terjun Sampuran,0
28,Air Terjun Morena,0
29,Tornagodang,0
30,Hatulian Beach,5000
31,Monumen Raja Sonakmalela,0
32,Lumban Binanga Beach,0
33,Pantai Pasifik Porsea,2000
34,Desa Adat Ragi Hotang,0
35,Makam Raja Sisingamangaraja XII,0
Sidang5.ipynb 0 → 100644
This diff is collapsed. Click to expand it.
TA14_Sidang.ipynb
......@@ -412,18 +412,18 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Route: 5, 1, 6, 4, 0, 3, 2, Distance: 238.00000000000003\n",
"Route: 1, 3, 6, 4, 5, 2, 0, Distance: 162.29999999999998\n",
"Route: 0, 2, 4, 1, 5, 3, 6, Distance: 251.5\n",
"Route: 1, 3, 5, 2, 0, 6, 4, Distance: 242.2\n",
"Route: 5, 4, 6, 1, 2, 3, 0, Distance: 305.3\n",
"Route: 2, 5, 4, 1, 0, 3, 6, Distance: 248.0\n",
"Route: 6, 3, 4, 2, 5, 0, 1, Distance: 153.1\n",
"Route: 2, 4, 3, 6, 5, 0, 1, Distance: 251.5\n",
"Route: 2, 4, 3, 6, 5, 0, 1, Distance: 251.5\n",
"Route: 6, 1, 2, 0, 3, 4, 5, Distance: 241.39999999999998\n",
"Changes for particle 1: 0\n",
"Changes for particle 2: 0\n",
"Changes for particle 3: 0\n",
"Changes for particle 4: 0\n",
"Changes for particle 4: 1\n",
"epoch number: 0\n",
"Target reached.\n",
"Best Route: 4, 3, 6, 1, 5, 0, 2, Distance: 156.6\n"
"Best Route: 6, 3, 4, 2, 5, 0, 1, Distance: 153.1\n"
]
}
],
......@@ -442,7 +442,7 @@
{
"data": {
"text/plain": [
"[4, 3, 6, 1, 5, 0, 2]"
"[6, 3, 4, 2, 5, 0, 1]"
]
},
"execution_count": 20,
......@@ -487,13 +487,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Water Park Tambunan\n",
"Taman Eden 100 Tobasa\n",
"Bukit Senyum\n",
"BUKIT travel Gibeon\n",
"Taman Eden 100 Tobasa\n",
"Water Park Tambunan\n",
"Pakkodian\n",
"Bukit Pahoda\n",
"Pantai BUL BUL\n",
"Pakkodian\n"
"BUKIT travel Gibeon\n"
]
}
],
......@@ -686,24 +686,24 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Route : [2, 5, 35, 14, 29, 18, 21, 2]\n",
"179.85 , 70124 , 26.897694\n",
"Route : [0, 14, 31, 23, 30, 27, 4, 0]\n",
"117.53 , 30000 , 26.897694\n",
"\n",
"\n",
"Route : [0, 31, 23, 19, 3, 1, 13, 0]\n",
"117.33 , 70090 , 26.897694\n",
"Route : [0, 18, 31, 23, 35, 20, 21, 0]\n",
"94.23 , 15000 , 26.897694\n",
"\n",
"\n",
"Route : [5, 20, 14, 35, 31, 23, 4, 5]\n",
"20.78 , 70132 , 26.897694\n",
"Route : [0, 23, 31, 33, 16, 27, 5, 0]\n",
"134.83 , 2000 , 26.897694\n",
"\n",
"\n",
"Route : [4, 20, 23, 31, 14, 35, 24, 4]\n",
"30.68 , 70151 , 26.897694\n",
"Route : [5, 12, 23, 31, 16, 34, 24, 5]\n",
"132.22999999999996 , 10000 , 26.897694\n",
"\n",
"\n",
"Route : [0, 35, 14, 23, 31, 4, 32, 0]\n",
"31.68 , 70139 , 26.897694\n",
"Route : [0, 16, 2, 31, 23, 34, 24, 0]\n",
"50.43000000000001 , 0 , 26.897694\n",
"\n",
"\n"
]
......@@ -759,7 +759,7 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
......@@ -774,7 +774,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 33,
"metadata": {},
"outputs": [
{
......@@ -782,12 +782,12 @@
"output_type": "stream",
"text": [
"Pantai BUL BUL\n",
"Makam Raja Sisingamangaraja XII\n",
"Museum T. B. Silalahi Center\n",
"Balerong Onan Balige\n",
"Pantai Meat\n",
"Pakkodian\n",
"Monumen Raja Sonakmalela\n",
"Water Park Tambunan\n",
"Lumban Binanga Beach\n",
"Balerong Onan Balige\n",
"Desa Adat Ragi Hotang\n",
"Dolok Tolong\n",
"Pantai BUL BUL\n"
]
}
......@@ -802,6 +802,133 @@
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# ABC"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"path = list(Dataz[\"ID_City\"])\n",
"Maximum_distance = Fitness_value.getting_max_distance()\n",
"Maximum_cost = Fitness_value.getting_max_cost()\n",
"def get_total_cost(path):\n",
" cost_route = []\n",
" cost = 0\n",
" for i in range(len(path)):\n",
" cost_route.append(Dataz.iloc[i][2])\n",
" cost = sum(cost_route)\n",
" return cost "
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
"#Datax"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"path = [5, 12, 23, 31, 16, 34, 24, 5]"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"def calculate_distance():\n",
" distance_route = []\n",
" last_distance = 0\n",
" distance = 0\n",
" for i in range(0,4):\n",
" source = path[i]\n",
" target = path[i+1]\n",
" distance_route.append(Datax.iloc[source][target])\n",
" for i in range(0,4):\n",
" source = path[len(path)-1]\n",
" target = path[len(path)-len(path)]\n",
" last_distance = Datax.iloc[source][target] \n",
" distance = sum(distance_route)+last_distance\n",
" return distance"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"116.62999999999998"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"calculate_distance()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"def get_last_distance():\n",
" last_distance = 0\n",
" for i in range(0,4):\n",
" source = path[len(path)-1]\n",
" target = path[len(path)-len(path)]\n",
" last_distance = Datax.iloc[source][target]\n",
" return last_distance "
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_last_distance()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
......
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