A note on weighted criteria methods for compromise solutions in multi-objective optimization

被引：177
|
作者：
Athan, TW [1 ]
Papalambros, PY [1 ]
机构：
[1] UNIV MICHIGAN,DEPT MECH ENGN & APPL MECH,ANN ARBOR,MI 48109
来源：
ENGINEERING OPTIMIZATION | 1996年 / 27卷 / 02期
关键词：
multicriteria; multiobjective; design optimization; non-convex; Pareto solutions;
D O I：
10.1080/03052159608941404
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A common multi-objective optimization approach forms the objective function from linearly weighted criteria. It is known that the method can fail to capture Pareto optimal points in a non-convex attainable region. This note considers generalized weighted criteria methods that retain the advantages of the linear method without suffering from this limitation. Compromise programming and a new method with exponentially weighted criteria are evaluated. Demonstration on design problems is included.
引用
收藏
页码：155 / 176
页数：22
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