MULTI-OBJECTIVE OPTIMIZATION PROBLEM WITH BOUNDED PARAMETERS

被引：8
|
作者：
Bhurjee, Ajay Kumar [1 ]
Panda, Geetanjali [1 ]
机构：
[1] Indian Inst Technol, Dept Math, Kharagpur 721302, W Bengal, India
来源：
RAIRO-OPERATIONS RESEARCH | 2014年 / 48卷 / 04期
关键词：
Multi-objective optimization problem; efficient solution; optimality condition; interval valued convex function; LINEAR-PROGRAMMING PROBLEMS; INTERVAL;
D O I：
10.1051/ro/2014023
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：
In this paper, we propose a nonlinear multi-objective optimization problem whose parameters in the objective functions and constraints vary in between some lower and upper bounds. Existence of the efficient solution of this model is studied and gradient based as well as gradient free optimality conditions are derived. The theoretical developments are illustrated through numerical examples.
引用
收藏
页码：545 / 558
页数：14
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