DocumentCode
2111508
Title
Genetic Accelerated Trust Region Algorithm without Constraints
Author
Ming-dong, Cheng
Author_Institution
Math. & Phys. Dept., Huangshi Inst. of Technol., Huangshi
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
401
Lastpage
403
Abstract
In this paper, a genetic accelerated trust region algorithm without constraints presented, which can deviate saddle point, and quickly reach more excellent point by using probabilistic optimization approach. While trust region algorithm can only converge to partial optimum, the new algorithm can converge to global optimum with an example proved the validity.
Keywords
convergence; genetic algorithms; probability; convergence; genetic accelerated trust region algorithm; probabilistic optimization approach; saddle point deviation; Genetic Algorithms; Optimization; Trust region;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-2727-4
Type
conf
DOI
10.1109/ISISE.2008.235
Filename
4732245
Link To Document