%0 Journal Article %1 Madhaw_2015 %A Shrivas, Madan Madhaw %A Saxena, Amit %A Gavel, Leeladhar Kumar %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Classification Feature Hybridization Intelligence Swarm selection %N 4 %P 1816--1820 %R 10.17762/ijritcc2321-8169.150418 %T A Review of Particle Swarm Optimization Feature Selection Classification and Hybridizations %U http://dx.doi.org/10.17762/ijritcc2321-8169.150418 %V 3 %X Particle swarm optimization (PSO) is a recently grown, popular, evolutionary and conceptually simple but efficient algorithm which belongs to swarm intelligence category. This paper outlines basic concepts and reviews PSO based techniques with their applications to classification and feature selection along with some of the hybridized applications of PSO with similar other techniques.

@article{Madhaw_2015, abstract = {Particle swarm optimization (PSO) is a recently grown, popular, evolutionary and conceptually simple but efficient algorithm which belongs to swarm intelligence category. This paper outlines basic concepts and reviews PSO based techniques with their applications to classification and feature selection along with some of the hybridized applications of PSO with similar other techniques.}, added-at = {2015-08-18T08:52:22.000+0200}, author = {Shrivas, Madan Madhaw and Saxena, Amit and Gavel, Leeladhar Kumar}, biburl = {https://www.bibsonomy.org/bibtex/2d3ed28c54cd5c3e8c9decb6b58338a4e/ijritcc}, doi = {10.17762/ijritcc2321-8169.150418}, interhash = {d054825495e6f8f0589f5a6fce1ac4ab}, intrahash = {d3ed28c54cd5c3e8c9decb6b58338a4e}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Classification Feature Hybridization Intelligence Swarm selection}, month = {april}, number = 4, pages = {1816--1820}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-18T08:52:22.000+0200}, title = {A Review of Particle Swarm Optimization Feature Selection Classification and Hybridizations}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150418}, volume = 3, year = 2015 }