A METHODOLOGY FOR SOLVING MULTIOBJECTIVE SIMULATION-OPTIMIZATION PROBLEMS

被引：22
|
作者：
TELEB, R
AZADIVAR, F
机构：
[1] KANSAS STATE UNIV AGR & APPL SCI,DEPT IND ENGN,MANHATTAN,KS 66506
[2] UNIV WISCONSIN STOUT,DEPT MATH,MENOMONIE,WI 54751
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 1994年 / 72卷 / 01期
关键词：
SIMULATION; OPTIMIZATION; MULTICRITERIA; STOCHASTIC;
D O I：
10.1016/0377-2217(94)90336-0
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
For many practical and industrial optimization problems where some or all of the system components are stochastic, the objective functions cannot be represented analytically. Due to the difficulties involved in the analytical expression, simulation may be the most effective means of studying these complex systems. Furthermore, many of these problems are characterized by the presence of multiple and conflicting objectives. The goal of this paper is to introduce a new methodology through an interactive algorithm for solving this multi-objective simulation optimization problem.
引用
收藏
页码：135 / 145
页数：11
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