Authors
Russell C Eberhart, Yuhui Shi
Publication date
1998/3/25
Book
International conference on evolutionary programming
Pages
611-616
Publisher
Springer Berlin Heidelberg
Description
This paper compares two evolutionary computation paradigms: genetic algorithms and particle swarm optimization. The operators of each paradigm are reviewed, focusing on how each affects search behavior in the problem space. The goals of the paper are to provide additional insights into how each paradigm works, and to suggest ways in which performance might be improved by incorporating features from one paradigm into the other.
Total citations
Scholar articles
RC Eberhart, Y Shi - International conference on evolutionary programming, 1998