.png){kind=icon}
返回
Efficient implementation of the normal boundary intersection (NBI) method on multiobjective optimization problems
.png){kind=icon}
PRE
AI
DOI：10.1021/ie000400v.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study attempts to address efficient implementation of the normal boundary intersection (NBI) method for the tradeoff between economics and pollution prevention with appropriate analysis methods. For the multiobjective optimization problem (MOOP), a noninferior solution curve (or Pareto curve) is efficiently obtained by using an enhanced NBI method combined with the SWOF (summation of weighted objective functions) method within a chemical process simulator. Then, the Pareto curve is analyzed by the ideal compromise solution set, sensitivity and elasticity analyses that give the decision basis between the conflicting objectives to the decision maker. Through the combined use of the SWOF and NBI methods, the upper and lower values of the ideal compromise set are exactly located. The total calculation time for the entire Pareto curve can be reduced owing to evenly distributed Pareto points.
Keyword:
CHEMICAL PROCESS SIMULATORS
DESIGN
期刊
I
IF:
3.9
论文数:
4.0W
被引数:
9.6W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏
查看更多内容