Abstract
Effectiveness of a multiobjective scheduling method using complex random sampling (MOCRSS) proposed in the previous papers mainly depends on the set of initial schedules. In this paper, the procedure for generating initial solutions is revised for efficiently finding a set of nondominated schedules with high accuracy. The results of some numerical experiments on a two-objective, two machine flowshop scheduling made it clear that the revised MOCRSS could generate a set of nondominated schedules with high accuracy more efficiently than the existing MOCRSS.