Greedy adaptive strategy

Notations

n: number of persons
t: number of tests
tpr: true positive rate / recall / hit rate of the test
tnr: true negative rate / specificity / selectivity of the test
p1,p2,...,pn: prior probabilities for each person to be sick (possibly estimated based on other data)
m: samples per person, put 0 if it's infinite or more than t
metric: confidence, entropy or diagnosed [threshold]
method: optimization method, can be ga or ga-luby
mutation_parameter: parameter than controls the search, 1-4 is a good range
luby_basis: only used with ga-luby, good values are values of epochs that give acceptable results.
epochs: number of optimization steps

n t

tpr tnr

p1 p2 ... pn

optim m metric
method mutation_parameter [luby_basis]
epochs