GENERALIZED RATIONNAL EFFICIENCY IN MULTIOBJECTIVE PROGRAMMING

被引:0
|
作者
Mahmodinejad, A. [1 ]
Foroutannia, D. [1 ]
机构
[1] Vali E Asr Univ Rafsanjan, Dept Math, Rafsanjan, Iran
来源
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS | 2016年 / 78卷 / 01期
关键词
Pareto; Nondominated; Efficiency; Multiobjective programming; SYSTEM;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
offer a limited number of representative solutions to the decision maker.A problem that sometimes occurs in multiobjective optimization is the existence of a large set of Pareto-optimal solutions. Hence the decision making based on selecting a unique preferred solution becomes difficult. Considering models with rational B-efficiency relieves some of the burden from the decision maker by shrinking the solution set. This paper focuses on solving multiobjective optimization problems by introducing the concept of rational B-efficiency. In this paper, first some theoretical and practical aspects of rationally B-efficient solutions are discussed. Then an algorithm to generate a subset of Pareto-optimal solutions is presented which aims offer a limited number of representative solutions to the decision maker.
引用
收藏
页码:135 / 146
页数:12
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