TY - GEN
T1 - Population diversity of particle swarms
AU - Shi, Yuhui
AU - Eberhart, Russell C.
PY - 2008
Y1 - 2008
N2 - In the field of evolutionary computation, an important attribute of a population is diversity. This paper proposes a method for measuring the diversity of a particle swarm optimization population. It involves the measurement of position and velocity attributes of the particles that comprise the population. The proposed method is computationally straightforward and is adaptable to other evolutionary algorithms.
AB - In the field of evolutionary computation, an important attribute of a population is diversity. This paper proposes a method for measuring the diversity of a particle swarm optimization population. It involves the measurement of position and velocity attributes of the particles that comprise the population. The proposed method is computationally straightforward and is adaptable to other evolutionary algorithms.
UR - http://www.scopus.com/inward/record.url?scp=55749113518&partnerID=8YFLogxK
U2 - 10.1109/CEC.2008.4630928
DO - 10.1109/CEC.2008.4630928
M3 - Conference Proceeding
AN - SCOPUS:55749113518
SN - 9781424418237
T3 - 2008 IEEE Congress on Evolutionary Computation, CEC 2008
SP - 1063
EP - 1067
BT - 2008 IEEE Congress on Evolutionary Computation, CEC 2008
T2 - 2008 IEEE Congress on Evolutionary Computation, CEC 2008
Y2 - 1 June 2008 through 6 June 2008
ER -