(1) Initialize population P and calculate individual fitness on all tasks
(2) Calculate individual factor grade (R) and optimal factor (T)
(3) While (termination condition not met) do
(i) Selecting cross-generation progeny population C (Algorithm 1)
(ii) Run selective imitation algorithm in progeny population C (Algorithm 2)
(iii) Only on task T, the adaptation value of offspring population C is calculated
(iv) Generate intermediate generation population R, where
(v) Update factor grade (R), optimal factor (T), and standard fitness (P) of individuals in intermediate population R
(vi) According to the standard adaptive values, the optimal individuals in the intermediate population R were selected to form the next generation population P
