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
Link To Document :
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