Particle swarm optimization Export

@article{citeulike:2284940, abstract = {Abstract\ \  Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors' perspective, including variations in the algorithm, current and ongoing research, applications and open problems.}, author = {Poli, Riccardo and Kennedy, James and Blackwell, Tim}, citeulike-article-id = {2284940}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s11721-007-0002-0}, citeulike-linkout-1 = {http://www.springerlink.com/content/046g237554721g95}, day = {1}, doi = {10.1007/s11721-007-0002-0}, issn = {1935-3812}, journal = {Swarm Intelligence}, keywords = {particle-swarm-optimization, pso}, month = {June}, number = {1}, pages = {33--57}, posted-at = {2009-11-15 08:29:25}, priority = {2}, title = {Particle swarm optimization}, url = {http://dx.doi.org/10.1007/s11721-007-0002-0}, volume = {1}, year = {2007} }

TY - JOUR ID - citeulike:2284940 L3 - citeulike-article-id:2284940 N2 - Abstract   Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems. IS - 1 JF - Swarm Intelligence SN - 1935-3812 EP - 57 TI - Particle swarm optimization VL - 1 SP - 33 KW - particle-swarm-optimization KW - pso AU - Poli, Riccardo AU - Kennedy, James AU - Blackwell, Tim PY - 2007/06/01/ UR - http://dx.doi.org/10.1007/s11721-007-0002-0 ER -