A Constraint Method in Nonlinear Multi-Objective Optimization

被引：0
|
作者：
Eichfelder, Gabriele [1 ]
机构：
[1] Univ Erlangen Nurnberg, Inst Appl Math, D-91058 Erlangen, Germany
来源：
MULTIOBJECTIVE PROGRAMMING AND GOAL PROGRAMMING: THEORETICAL RESULTS AND PRACTICAL APPLICATIONS | 2009年 / 618卷
关键词：
Adaptive parameter control; Approximation; Multiobjective optimization; Scalarization; Sensitivity; PARETO FRONTIER; APPROXIMATION;
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
We present a new method for generating a concise and representative approximation of the (weakly) efficient set of a nonlinear multi-objective optimization problem. For the parameter dependent epsilon-constraint scalarization an algorithm is given which allows an adaptive controlling of the parameters-the upper bounds-based on sensitivity results such that equidistant approximation points are generated. The proposed method is applied to a variety of test-problems.
引用
收藏
页码：3 / 12
页数：10
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