The invention provides a lead selecting method based on an improved upsemoa
algorithm. The method comprises the following steps of (1), acquiring a
population, acquiring input parameters which comprises a
population minimal size miSize, a father-generation basis vector number burstSize, and an individual length L, randomly generating miSize individuals with length of L in a given searching space for forming the
population P; (2), performing initial determining, determining whether the population P is a
first generation, if not, combining the output filial generation population C into the population P, and initializing a non-inferior-solution set T; (3), selecting the set, choosing the non-inferior-solution set Te from the population P; (4), performing crowdedness sequencing, performing crowdedness comparison sequencing on the non-inferior-solution set T; (5), performing choosing and combination; (6), choosing the father-generation basis vector; (7), selecting the filial generation population; and (8), ending determining. The lead selecting method realizes a time length which is far shorter than that of other lead selecting methods based on multi-target evolution under a
precondition that classification accuracy is not lower than other lead selecting methods.