Tabu search solution for fuzzy linear programming

被引：6
|
作者：
Mashinchi, M. Hadi [1 ]
Mashinchi, M. Reza [1 ]
Mashinchi, M. [2 ]
机构：
[1] Univ Technol Malaysia, Fac Comp Sci & Informat Syst, Skudai, Johor, Malaysia
[2] Shahid Bahonar Univ Kerman, Fac Math & Comp Sci, Kerman, Iran
来源：
7TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE IN CONJUNCTION WITH 2ND IEEE/ACIS INTERNATIONAL WORKSHOP ON E-ACTIVITY, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICIS.2008.105
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a tabu search (TS) method is proposed to find a global solution for fuzzy linear programming (FLP). Two additional factors, distribution factor (DF) and similarity factor (SF), are also introduced for TS to enhance the searching performance. The application of DF and SF makes the TS to surf in a larger search space and reduces the possibility of re-searching the visited areas. A simulation is done to show the efficiency of the proposed study.
引用
收藏
页码：82 / +
页数：2
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