DocumentCode :
2985979
Title :
Researching on the Growth Operator SWFZIRS of Growth Evolution Algorithms
Author :
Shengjie, Sun ; Sheng, Zhong ; Baihai, Zhang
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
fYear :
2011
fDate :
3-4 Dec. 2011
Firstpage :
135
Lastpage :
138
Abstract :
This paper put forward a algorithm to implement the function of growth operator, the algorithm is called SWFZIRS (Sector Window, Window Float, Window Zoom, Immune, Random Search). Sector Window, Window Float, and Window Zoom be used to improve the learning ability, and Immune be used to accumulate experience and to strengthen immunity, and Random Search be used to ensure population diversity. Experiments show that probability of that find global optimal solution is increased.
Keywords :
evolutionary computation; mathematical operators; search problems; SWFZIRS algorithm; global optimal solution; growth evolution algorithm; growth operator; population diversity; sector window-window float-window zoom-immune-random search; Algorithm design and analysis; Approximation algorithms; Approximation methods; Convergence; Evolutionary computation; Heuristic algorithms; Search problems; SWFZIRS; evolution algorithm; function optimization; growth operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
Type :
conf
DOI :
10.1109/CIS.2011.38
Filename :
6128091
Link To Document :
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