The Interval Linear Programming: A Revisit

被引：29
|
作者：
Zhou, F. [1 ]
Guo, H. C. [1 ]
Chen, G. X. [2 ]
Huang, G. H. [3 ]
机构：
[1] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
[2] Peking Univ, Sch Math Sci, LMAM & CCSE, Beijing 100871, Peoples R China
[3] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON N2L 3G1, Canada
来源：
JOURNAL OF ENVIRONMENTAL INFORMATICS | 2008年 / 11卷 / 01期
关键词：
linear programming; optimization; uncertainty; feasibility; Lake Qionghai;
D O I：
10.3808/jei.200800105
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Interval linear programming (ILP) was developed by Huang and Moore (1993) and was widely applied in environmental and resources management. However, the feasibility of optimal solutions for affect directly in generating several decision alternatives, thus a modified interval linear programming (MILP) model is developed to assure its solution space could be absolutely feasible, and its solution algorithm is proposed to incorporates the associated extra constraints into the upper- and lower- bounds submodels. Moreover, the proofs for determining A and B in corresponding constraints are refined in this study. The results of numeric example and its application in water-quality management of Lake Qionghai Basin (China) further indicated the feasibility and effectiveness of the developed MILP model.
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页码：1 / 10
页数：10
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