Combining minsum and minmax: A goal programming approach

被引：9

作者：

Carrizosa, E

Romero-Morales, D

机构：

[1] Univ Sevilla, Fac Math, Seville 41012, Spain

[2] Rotterdam Sch Management, Decis & Informat Sci Dept, NL-3000 DR Rotterdam, Netherlands

[3] Univ Sevilla, Fac Matemat, Seville 41012, Spain

来源：

OPERATIONS RESEARCH | 2001年 / 49卷 / 01期

关键词：

Goal programming approach - Multiuple-objective optimization problems (MOP);

D O I：

10.1287/opre.49.1.169.11190

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

A number of methods for multiple-objective optimization problems (MOP) give as solution to MOP the set of optimal solutions for some single-objective optimization problems associated with it. Well-known examples of these single-objective optimization problems are the minsum and the minmax. In this note, we propose a new parametric single-objective optimization problem associated with MOP by means of Goal Programming ideas. We show that. the minsum and minmax are particular instances, so we are somehow combining minsum and minmax by means of a parameter. Moreover, such parameter has a clear meaning in the value space. Applications of this parametric problem to classical models in Locational Analysis are discussed.

引用

页码：169 / 174

页数：6

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