抄録
In this paper, parameters of diesel engine that has the minimum amount of SFC, NOx, and Soot are determined by multi objective genetic algorithm. Several types of effective multi objective genetic algorithms have been proposed; those are NSGA-II, SPEA2, and SPEA2+. Here, SPEA2+ is applied for designing diesel engines and the results are compared with those of other methods. The results of numerical experiments show that SPEA2+ has high searching ability for designing diesel engines, since SPEA2+ can derive the solutions that have high diversity not only in the objective space but also in the design variable space.
