-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathsettings.ini
63 lines (48 loc) · 2.09 KB
/
settings.ini
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
[ExcelFiles]
; Path to the directory where the Excel files with the input data is saved.
; Default: excel_files/import
ExcelFilesInputPath = excel_files/import
; Names of the to be imported Excel files.
; Default: Information.xlsx
ExcelFileInformation = Information.xlsx
; Default: Transportflow.xlsx
ExcelFileTransportFlow = Transportflow.xlsx
; Default: Transportmeans.xlsx
ExcelFileTransportMeans = Transportmean.xlsx
; Path to where the Excel Files with the output data should be saved.
; Default: excel_files/export
ExcelFilesOutputPath = excel_files/export
[Visualization]
; Name of the file that stores the image of the visualization of the first stage.
; Default: src/visualization_main_first_stage.png
VisualizationFirstStagePath = src/visualization_first_stage.png
; Name of the file that stores the image of the visualization of the solution.
; Default: src/visualization_main.png
VisualizationPath = src/visualization.png
; Decide whether the departments will be labelled in the visualization. Must be True or False.
; Default: True
drawLabels = True
[Configuration]
; Constant controlling the repulsion of the departments in the first stage. 0 < Alpha <= 1.
; Default: 0.02
Alpha = 0.02
; Defines whether grouping will be active or not. Must be True or False.
; Default: True
Grouping = True
; How much priority will be put on grouping departments. 0 <= GroupingValue <= 1.
; Default: 0.5
GroupingValue = 0.7
; Method:
; - "gradient_descent" to use the gradient descent function we implemented ourselves to solve the first stage
; - "scipy_minimize" to use the minimize function of scipy.optimize to solve the first stage
; Default: scipy_minimize
Method = scipy_minimize
; Min defines after which criterion the solution will be chosen from all available iteration solutions.
; Note that this does NOT change the optimization objective, which will always be to minimize the total cost, not the total area.
; - "cost" opt solution with respect to cost
; - "area" opt solution with respect to area
; Default: cost
Min = cost
; Number of iterations of first and second stage.
; Default: 10
Iterations = 10