Title :
A new global optimizing method and fast converge algorithm for nonlinear systems
Author :
Zhu, Xiaokun ; Zhu, Weile ; Gu Deren
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper the authors present a new method of global search for optimizing in n-dimensional space. This method is suitable for a function that has many extremes and has one or more nondifferentiable components. Using the Powell and Sargent analytical search algorithm for local extremes reduces the number of evaluations and improves the speed of the algorithm´s convergence
Keywords :
control system analysis computing; convergence; nonlinear systems; optimisation; search problems; analytical search algorithm; convergence; fast converge algorithm; global optimizing method; local extremes; n-dimensional space; nonlinear systems; Algorithm design and analysis; Convergence; Helium; Nonlinear systems; Optimization methods; Piecewise linear approximation; Probability; Random processes; Search methods; Upper bound;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184514
