Title :
Genetic Accelerated Trust Region Algorithm without Constraints
Author :
Ming-dong, Cheng
Author_Institution :
Math. & Phys. Dept., Huangshi Inst. of Technol., Huangshi
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;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.235
