how can i formulate this fitness function ?
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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.....
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