how can i formulate this fitness function ?
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Ameer Kadhim
am 10 Mär. 2018
Kommentiert: Star Strider
am 10 Mär. 2018
hello everybody...
my problem is : i have matrix consist of 4 columns and 200 rows , the fist column represent the index , the second column contain the values of weights ( in kg) , third column contain the values of length(in meter) , the fourth column contains the values of age(in days) . how i can formulate this problem in genetic algorithm (e.g NSGA-II)in matlab , such that finally i want the number vector or pareto-front that contain (low value of weight, high value of length, less value of age ) simultaneously. for example:
1 : 20 70 45
2: 49 10 67
3: 100 15 46
4: .... and so on .
And what is form of the fitness function? Please help me...
With sincere thanks and appreciation.....
0 Kommentare
Akzeptierte Antwort
Star Strider
am 10 Mär. 2018
I am not certain what you want to do, so I leave the design of the fitness function to you.
Something like this could work:
M = [(1:25)' randi(100, 25, 3)]; % Create Data Matrix
fitfcn = @(x) [x(1).*min(M(2)), x(2).*max(M(3)), x(3).*min(M(4))];
X = gamultiobj(fitfcn, 3)
Mval = [X(:,1).*min(M(:,2)), X(:,2).*max(M(:,3)), X(:,3).*min(M(:,4))];
figure(1)
scatter3(Mval(:,1), Mval(:,2), Mval(:,3), 'p')
grid on
figure(2)
stem3(Mval(:,1), Mval(:,2), Mval(:,3), 'p', 'Filled')
grid on
6 Kommentare
Star Strider
am 10 Mär. 2018
There are probably people here on MATLAB Answers who have the expertise you need. That is the reason I suggested that you ask a new Question, this time describing the problem you actually want to solve.
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Genetic Algorithm finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!