Title :
Neighborhood topologies in fully-informed and best-of-neighborhood particle swarms
Author :
Kennedy, James ; Mendes, Rui
Author_Institution :
US Bur. of Labor Stat., Washington, DC, USA
Abstract :
We vary the way an individual in the particle swarm interacts with its neighbors. Performance depends on population topology as well as algorithm version.
Keywords :
algorithm theory; multi-agent systems; optimisation; algorithm version; best-of-neighborhood particle swarm; candidate problem solution; fully-informed particle swarm; neighborhood structure; neighborhood topology; particle swarm interaction; population topology; program loop iteration; Emulation; Feedforward neural networks; Humans; Network topology; Neural networks; Particle swarm optimization; Psychology; Social network services; Statistics; Testing;
Conference_Titel :
Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
Print_ISBN :
0-7803-7855-5
DOI :
10.1109/SMCIA.2003.1231342
