Title :
Based on improved particle swarm optimization algorithm investment combination analysis
Author_Institution :
Comput. center of Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China
Abstract :
Aiming to the problem about how to make optimization investment combination. The improved particle swarm optimization (PSO) algorithm is presented to handle this question. Though theoretical deviation, the improved PSO algorithm is proofed to be more adaptability than standard particle swarm optimization algorithm under this question. The correctness of theoretical deviation is verified by the experiment.
Keywords :
investment; particle swarm optimisation; PSO algorithm; particle swarm optimization algorithm investment combination analysis; GA algorithm; PSO algorithm; investment combination;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526274
