Title :
A Weak Filled Function Algorithm for Unconstrained Searching Optimization
Author :
Guiyu Li ; Jiongcheng Li ; Henghui Xiao ; Shengpei Ding
Author_Institution :
Key Wireless Network Optimization Center of Guangzhou, Guangdong Planning & Designing Inst. of Telecommun. Co., Ltd., Guangzhou, China
Abstract :
Aiming at the optimization algorithm, weak filled function method is proposed and which with simple form is constructed. The restriction of this method is weaker than the known filled function method, thus it is easier to construct function and solve algorithm. The weak filled function method is feasible through the theoretical analysis, and the global minimum of simulation example can be obtained in its interval. The results indicate that weak filled function method is an effective method.
Keywords :
optimisation; search problems; unconstrained searching optimization; weak filled function algorithm; Algorithm design and analysis; Approximation methods; Linear programming; Minimization; Neural networks; Optimization; Search problems; Unconstrained searching optimization; global minimum; local minimum; weak filled function method;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.15