Dear ALL
iam working on optimal placement of sensors on plate using genetic algorithm
The plate is divided into 100 elements encoded by sequential integer numbers
01, 02,...,100; each representing a possible location of a sensor as shown in
Figure 1
chromosome length contains seven genes for sensor as shown in Figure 2
locations and the chromosome is marked with its fitness value as shown in Figure 2
i need to design a matlab code crossover procedure to avoid repeated sensors in the child
any one can help please
please see the links for applications of GA in Sensor placements in plates
http://paginas.fe.up.pt/clme/icem15/ICEM15_CD/data/papers/2716.pdf
http://link.springer.com/article/10.1007%2Fs00707-015-1388-1#/page-1
Hi
I advice you to see these documents. You will find what you need.
Best regards
https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjErpiBlqrJAhXLChoKHYiXA3AQFggiMAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.129.2064%26rep%3Drep1%26type%3Dpdf&usg=AFQjCNFcR_0iVp-R0TgSh-NT1TU8rstjMA&bvm=bv.108194040,d.d2s
http://www.sciencedirect.com/science/article/pii/S0022460X08002629
https://prezi.com/kesqoyo4c2x0/optimal-placements-of-sensors-by-using-genetic-algorithm-mtech-thesis/
The simplest solution:
Treat two parents as two sets of 7 elements (numbers from 1 to 100): sets A and B. Combine these sets: C = A u B. Choose randomly without replacement 7 elements from C: you get first children A'. Choose again randomly without replacement 7 elements from C: you get second children B'.
Have fun
thank you Grzegorz Dudek
ill to make a matlab code for your sugestion
Some idea:
A=[1 2 3 4 5 6 7];
B=[5 6 7 8 9 10 11];
C = union(A,B);
q=randperm(length(C));
A1=C(q(1:7));
q=randperm(length(C));
B1=C(q(1:7));
or if you want all elements of A and B to be copied to children:
A=[1 2 3 4 5 6 7];
B=[5 6 7 8 9 10 11];
C = union(A,B);
q=randperm(length(C));
A1=C(q(1:7));
B1=C(q(8:end));
g=length(B1);
if g
please see the links for applications of GA in Sensor placements in plates
http://paginas.fe.up.pt/clme/icem15/ICEM15_CD/data/papers/2716.pdf
http://link.springer.com/article/10.1007%2Fs00707-015-1388-1#/page-1
If the dynamics of your problem are linear, then the following paper provides a globally optimal solution for estimation and control problems, without the need for GA.
Faming Li, Maiuricio de Oliveira, Robert Skelton "Integrating Information Architecture and Control or Estimation Design" SICE Journal of Control, Measurement, and System Integration, Vol 1, No. 2 pp 120-128, March 2008.
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