摘要
在对两种智能型多目标算法—模拟退火算法和遗传算法进行研究的基础上 ,将两种算法从理论上进行了比较 ;并将该两方法应用到透平级设计的计算上 ,亦对其进行了比较 ,得出了有益的结论。
A study was conducted of two intelligent multi-objective algorithms, i.e., a simulated annealing algorithm and a genetic algorithm. On this basis these two algorithms were compared from both a theoretical viewpoint and the perspective of their practical use for turbine stage design purposes. As a result, some elucidating conclusions have been reached, creating a solid basis for the in-depth research on the multi-objective optimal design of turbine stages.
出处
《热能动力工程》
EI
CAS
CSCD
北大核心
2001年第2期168-171,174,共5页
Journal of Engineering for Thermal Energy and Power
关键词
汽轮机级
多目标优化设计
模拟退火算法
遗传算法
steam turbine stage, multi objective optimal design, simulated annealing algorithm, genetic algorithm