Title :
On the Analysis of Performance of the Improved Artificial Searching Swarm Algorithm
Author :
Chen, Tanggong ; Liu, Zibin ; Shu, Qunfang ; 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 new optimization algorithm. This paper presents two type behaviors rules of searching swarm, and discusses the performance of the algorithm based on the different rules. By analyzing the simulation results, an improved ASSA with mutative searching step is proposed. The function simulation tests prove that the improved algorithm implements better performance than that of original algorithm in both searching precision and convergent speed.
Keywords :
artificial intelligence; search problems; artificial searching swarm algorithm; function simulation test; mutative searching step; optimization algorithm; Algorithm design and analysis; Analytical models; Ant colony optimization; Artificial intelligence; Biological system modeling; Design optimization; Genetic algorithms; Intelligent networks; Particle swarm optimization; Performance analysis; artificial searching swarm algorithm; bionic intelligent optimization algorithm; evolutionary computation; optimization;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.134
