Title :
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
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;
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
DOI :
10.1109/ICCMS.2010.425
