TY - GEN
T1 - Recent advances in particle swarm optimization via population structuring and individual behavior control
AU - Liang, Xiaolei
AU - Li, Wenfeng
AU - Zhang, Yu
AU - Zhong, Ye
AU - Zhou, Mengchu
PY - 2013
Y1 - 2013
N2 - Particle swarm optimization (PSO) is an import bionic algorithm, inspired by the behaviors of gregarious colony such as bees, birds and fish. Since PSO was proposed in 1995 as a kind of swarm intelligence, many improved versions have been developed from different angles. In a swarm, population structures and individual behavior are the key elements for it to evolve. Therefore, in this paper we classify recent PSOs according to their development. Population structures are the foundation of a swarm. Thus some developments are discussed in accordance with the classification of single population and multiple sub-populations. Then the researches on static and dynamic topologies are also reviewed. After that, the improvements on individual behavior control are shown. Finally, some research directions to advance PSO are pointed out.
AB - Particle swarm optimization (PSO) is an import bionic algorithm, inspired by the behaviors of gregarious colony such as bees, birds and fish. Since PSO was proposed in 1995 as a kind of swarm intelligence, many improved versions have been developed from different angles. In a swarm, population structures and individual behavior are the key elements for it to evolve. Therefore, in this paper we classify recent PSOs according to their development. Population structures are the foundation of a swarm. Thus some developments are discussed in accordance with the classification of single population and multiple sub-populations. Then the researches on static and dynamic topologies are also reviewed. After that, the improvements on individual behavior control are shown. Finally, some research directions to advance PSO are pointed out.
KW - ant colony optimization
KW - genetic algorithm
KW - group search optimizer
KW - particle swarm optimization
KW - swarm intelligence component
UR - http://www.scopus.com/inward/record.url?scp=84881295400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881295400&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2013.6548790
DO - 10.1109/ICNSC.2013.6548790
M3 - Conference contribution
AN - SCOPUS:84881295400
SN - 9781467351980
T3 - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
SP - 503
EP - 508
BT - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
T2 - 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013
Y2 - 10 April 2013 through 12 April 2013
ER -