DocumentCode :
3314174
Title :
On the Analysis of Performance of the Improved Artificial-Bee-Colony Algorithm
Author :
Quan, Haiyan ; Shi, Xinling
Author_Institution :
Fac. of Inf. & Autom., Kunming Univ. of Sci. & Technol., Kunming
Volume :
7
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
654
Lastpage :
658
Abstract :
This paper introduces an improved artificial colony algorithm. In the algorithm, a new search iteration operator based on the fixed point theorem of Contractive Mapping in Banach Spaces is proposed. In this work, the improved artificial colony algorithm is used to 10 multivariable benchmark functions. The simulation results show that the algorithm possesses an excellent performance in the global optimization, and can be efficiently employed to solve the multimodal engineering problems with high dimensionality.
Keywords :
Banach spaces; artificial intelligence; search problems; Banach spaces; artificial colony algorithm; artificial-bee-colony algorithm; contractive mapping; fixed point theorem; global optimization; multimodal engineering problems; multivariable benchmark functions; search iteration operator; Algorithm design and analysis; Artificial intelligence; Automation; Educational institutions; Equations; Genetics; Information analysis; Performance analysis; Space technology; Tin; artificial bee colony; multimodal function with high dimensionality; numerical optimization; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.211
Filename :
4668057
Link To Document :
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