Journal
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Volume 8, Issue 3, Pages 204-210Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/tevc.2004.826074
Keywords
optimization; particle swarm optimization; social networks
Ask authors/readers for more resources
The canonical particle swarm algorithm is a new approach to optimization, drawing inspiration from group behavior and the establishment of social norms. It is gaining popularity, especially because of the speed of convergence and the fact that it is easy to use. However, we feel that each individual is not simply influenced by the best performer among his neighbors. We, thus, decided to make the individuals fully informed. The results are very promising, as informed individuals seem to find better solutions in all the benchmark functions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available