Back to xl bit
Download example files at the link below :
GA_sample_1.xls ( 90kb )
The file contains 3 examples which are...
1) How to optimize neural network weights with xl bit.
2) How to use xl bit to simulate the popular "Travelling Salesman Problem".
3) How a company maximize profit using xl bit.
More examples will be added from time to time. Or user can provide example at support@xlpert.com . Contributors of examples file is
entitle a 30% discount when purchasing xl bit.
Example 1 (Optimizing neural network weights)
Everyone try to forecast the future. Bankers need to predict credit worthiness of customers. Marketing analyst want to predict future sales.
Economists want to predict economic cycles. And everybody want to know whether the stock market will be up or down tomorrow.
Example 1 is a neural network model built on a worksheet with the famous Exclusive-Or problem as input data. User can modify and expand
the model with your own input data. Instructions on how to build the neural network model is shown in this worksheet. Neural network is proven
to be a very effective forecasting tool.
a) Open the file GA_sample_1.xls and select worksheet XOR.
b) Start xl bit.
c) The dialog form below will be shown...
d) Select the Min option button as we want to minimize the Mean Square Error.
e) On the Target Cell, enter I7.
f) User can find the relevant cells to change by clicking the Autofind button. The relevant cells will be shown in the dropdown box.
Or user can enter H2:K5 in the By Adjusting Cells edit box.
g) Select Non-integer as the Variables Type.
h) User can add constraints to the model by selecting the Add button in the List of Constraint(s) frame. If selected the dialog form
below will be display...
Fill the parameters on this dialog box and click the Add button to add another constraint, else select the Ok button to go to
the next step . If user select the Add button, the constraint specified will be added to the ListBox on the main dialog box. (see below)
Here the constraint, h2:k2 >= 10, with priority Low and Tolerance 0% is added.
i) Click on the Option button. The dialog form below will be shown.
j) By default are the value indicated above. User can test the optimization by using different parameters.
k) Start running the program by clicking the GENERATE button. At runtime user can see the changes on the design variables
like the one below.
The current result will also be shown on the Excel Status Bar.
l) User will be ask whether to stop running or to continue after finish running...(see below)
m) If user stop xl bit, then user will have a choice to keep xl bit solution or restore original values. (see below).
n) If xl bit solution is accepted, then a comprehensive report will be generated. (see below). The worksheet "GeneReport"
Example 2 (back to top)
This is the "Travelling Salesman Problem" which is well known in combinatorial optimization. In this model, there are 12 cities where the
goal is to find a closed tour in which each city is visited once, such that the total distance is minimized. For a TSP with n cities, the number
of possible tours increases exponentially with n. For example, finding the best tour of the capital cities of the United States (n = 50) would
require billion of years even with the fastest computer. In our example, n = 12, there are 19,958,400 possible tours.
a) Open the file GA_sample_1.xls and select worksheet TSP
b) Start xl bit.
c) The dialog form below will be shown...
d) Select the Min option button as we want to minimize the distance travel.
e) On the Target Cell, enter Q2.
f) User can find the relevant cells to change by clicking the Autofind button. The relevant cells will be shown in the dropdown box.
Or user can enter N2:N13 in the By Adjusting Cells edit box.
g) Select Permute as the Variables Type.
h) Click on the Option button. The dialog form below will be shown.
i) By default are the value indicated above. User can test the optimization by using different parameters.
j) Start running the program by clicking the GENERATE button. At runtime user can see the changes on the design variables
like the one below.
k) User will be ask whether to stop running or to continue after finish running...
l) If user stop xl bit, then user will have a choice to keep xl bit solution or restore original values.
m) If xl bit solution is accepted, then a comprehensive report will be generated. (see below)...The worksheet "GeneReport"
A company can produce a product using 3 production processes. Let the variables x1,x2 and x3 stand for the product manufactured by activities
1,2, and 3 respectively. Each process uses Labour, Capital and Materials to produce the product. The use of labour and capital is measured in
hours, and the materials is an index number for quantities of materials and supplies used. The availability of inputs of labour, capital and materials,
and the amounts of each input used to produce one unit of product by each production activity, are shown by the table on the left in the worksheet
"Maximise Profit"
a) Open the file GA_sample_1.xls and select worksheet Maximise Profit.
b) Start xl bit.
c) The dialog form below will be shown...
d) Select the Max option button as we want to maximize the profit.
e) On the Target Cell, enter b12.
f) User can find the relevant cells to change by clicking the Autofind button. The relevant cells will be shown in the dropdown box.
Or user can enter C4:C6 in the By Adjusting Cells edit box.
g) Select Integer as the Variables Type.
h) Enter the 3 constraints one by one by clicking the Add button on the List of Constraint(s) frame.
(1) B8 <= 850
(2) B9 <= 800
(3) B10 <= 980
i) Click the Add button and the constraint will be inserted...(see below)
j) After the 3 constraints are entered (see below), then select the Options button
The dialog form below will be shown when you select the Options button...
k) By default are the value indicated above. User can test the optimization by using different parameters.
l) Start running the program by clicking the GENERATE button. At runtime user can see the changes on the design variables
like the one below.
m) User will be ask whether to stop running or to continue after finish running...
n) If user stop xl bit, then user will have a choice to keep xl bit solution or restore original values.
o) If xl bit solution is accepted, then a comprehensive report will be generated. (see below)...The worksheet "GeneReport"
