An Improved Artificial Searching Swarm Algorithm and Its Performance Analysis

Author

Chen, Tanggong ; Wang, Youhua ; Pang, Lingling ; Liu, Zibin ; Zhang, Lijie

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

Volume

3

fYear

2010

Firstpage

260

Lastpage

263

Abstract

Artificial searching swarm algorithm (ASSA) is a novel intelligent optimization algorithm. In this work, an improved ASSA (IASSA) with global inertia weight is proposed. IASSA and ASSA are used for optimizing multivariable functions and the performances have been compared. The results proved that the IASSA possesses a better performance than that of ASSA in both searching precision and convergent speed.

Keywords

convergence; evolutionary computation; particle swarm optimisation; search problems; bionic intelligent optimization algorithm; convergent speed; evolutionary computation; global inertia weight; improved artificial searching swarm algorithm; intelligent optimization algorithm; multivariable function optimization; performance analysis; searching precision; Acceleration; Algorithm design and analysis; Analytical models; Ant colony optimization; Artificial intelligence; Computational modeling; Design optimization; Particle swarm optimization; Performance analysis; Reconnaissance; artificial searching swarm algorithm; bionic intelligent optimization algorithm; evolutionary computation; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4244-5642-0

Electronic_ISBN

978-1-4244-5643-7

Type

conf

DOI

10.1109/ICCMS.2010.425

Filename

5421223