Applying Genetic Algorithm to Generation of High-Dimensional Item Response Data

Algorithm 1

Random generation (RG).

Input: number of items (), number of examinees (), probability of being correct ()

Output: item response data ()

(1) for all    do

(2)    for all    do

(3)     = Rand(0~1)  /Generate a random real number between 0 and 1 /

(4)    if    then

(5)        

(6)    else

(7)        

(8) return