DocumentCode :
2020050
Title :
Optimum Design of Fuzzy Reliability Based on Genetic-Ant Colonies Intelligent Algorithm
Author :
Huang, Fengli ; Xu, Jinhong ; Lou, Yongjian ; Gu, Jinmei
Author_Institution :
Sch. of Mech. Eng., Tongji Univ., Shanghai
Volume :
1
fYear :
2008
fDate :
17-18 Oct. 2008
Firstpage :
141
Lastpage :
145
Abstract :
For the parameters of product reliability design are uncertain, based on the Liu´s fuzzy chance constrained theory, provides a fuzzy chance constrained programming module of product reliability design that has N sub-systems and several designs can be chosen in every sub-system. The detailed processes of genetic algorithm and ant colonies algorithm are given respectively, checking fuzzy simulation for the fuzzy chance constrains are improved. The detailed method of solution based on genetic-ant colonies with fuzzy simulated is given. At the end of the paper, an instance is given to test that the algorithm and the improvement are reliable, and the searching speed can be improved.
Keywords :
constraint theory; fuzzy set theory; genetic algorithms; mathematical programming; mechanical products; product design; reliability; Liu´s fuzzy; N sub-system; constrained programming module; constrained theory; fuzzy reliability optimum design; genetic algorithm; genetic-ant colony intelligent algorithm; mechanical product reliability design; mechanical system design; Algorithm design and analysis; Computational intelligence; Constraint theory; Costs; Fuzzy systems; Genetic algorithms; Mechanical systems; Product design; Reliability theory; Upper bound; Genetic algorithm; ant colonies algorithm; hybrid intelligence; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
Type :
conf
DOI :
10.1109/ISCID.2008.101
Filename :
4725576
Link To Document :
بازگشت