DocumentCode
498221
Title
Evolutionary Swarm Algorithm Based on Evolutionary Swarm Model
Author
Quan, Haiyan ; Shi, Xinling
Author_Institution
Fac. of Inf. & Autom. 1, Yunnan Univ., Kunming, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
178
Lastpage
182
Abstract
The paper introduces an evolution swarm model that clearly demonstrates many intelligent algorithms. Based on the model, an evolutionary swarm algorithm is designed. In this work, the evolutionary swarm algorithm is tested with 5 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 function optimization for the multimodal function with high dimensionality.
Keywords
evolutionary computation; optimisation; evolutionary swarm algorithm; evolutionary swarm model; multimodal function optimization; multivariable benchmark function; simulation result; Algorithm design and analysis; Ant colony optimization; Automation; Design optimization; Intelligent systems; Paper technology; Particle swarm optimization; Process design; Stochastic processes; Testing; evolution algorithm; evolutionary swarm algorithm; evolutionary swarm model; swarm algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.34
Filename
5208995
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