Title :
Population diversity of particle swarms
Author :
Shi, Yuhui ; Eberhart, Russell C.
Author_Institution :
Xi´´an Jiaotong-Liverpool Univ., Suzhou
Abstract :
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.
Keywords :
evolutionary computation; particle swarm optimisation; evolutionary algorithms; evolutionary computation; particle swarm optimization population; population diversity; Evolutionary computation; Particle swarm optimization; Particle tracking;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630928
