Title :
On the Analysis of Performance of the Artificial Searching Swarm Algorithm
Author :
Chen, Tanggong ; Zhang, Lijie ; Liu, Zibin ; Pang, Lingling ; Shu, Qunfang
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 an optimization algorithm based on the simulation of bionic intelligent optimization algorithm. This work discusses the main factors which influence the performance of ASSA, and compares the performance of ASSA with that of genetic algorithm (GA), particle swarm optimization (PSO), and artificial fish-swarm algorithm (AFSA) for optimization multivariable functions. The simulation results show that ASSA outperforms the mentioned algorithms in global optimization.
Keywords :
genetic algorithms; particle swarm optimisation; search problems; ASSA performance evaluation; artificial fish-swarm algorithm; artificial searching swarm algorithm; bionic intelligent optimization algorithm simulation; genetic algorithm; optimization multivariable function; particle swarm optimization; Algorithm design and analysis; Ant colony optimization; Artificial intelligence; Biological system modeling; Computational biology; Design optimization; Genetic algorithms; Optimization methods; Particle swarm optimization; Performance analysis; artificial searching swarm algorithm; bionic intelligent optimization algorithm; genetic algorithm; optimization; particle swarm algorithm;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.162
