Today algorithm based on collective intelligence in all areas of finance and accounting solution is found. It can be stated High predictability, Low error, simply, Quickly process those cases, Possible to achieve the optimal solution provides And this creates consistency in the various fields. This study investigated the Particle Swarm Optimization algorithm (PSO) in accounting deals. The expression of these algorithms, key features and benefits of state and considering the possible deficiencies of this algorithm, to improve its solution has been proposed.
Khajoy,S. and Amiri,F. S. (2015). A look at the Particle Swarm Optimization algorithm in the capital market. Accounting and Auditing Studies, 4(13), 20-31. doi: 10.22034/iaas.2015.103469
MLA
Khajoy,S. , and Amiri,F. S. . "A look at the Particle Swarm Optimization algorithm in the capital market", Accounting and Auditing Studies, 4, 13, 2015, 20-31. doi: 10.22034/iaas.2015.103469
HARVARD
Khajoy S., Amiri F. S. (2015). 'A look at the Particle Swarm Optimization algorithm in the capital market', Accounting and Auditing Studies, 4(13), pp. 20-31. doi: 10.22034/iaas.2015.103469
CHICAGO
S. Khajoy and F. S. Amiri, "A look at the Particle Swarm Optimization algorithm in the capital market," Accounting and Auditing Studies, 4 13 (2015): 20-31, doi: 10.22034/iaas.2015.103469
VANCOUVER
Khajoy S., Amiri F. S. A look at the Particle Swarm Optimization algorithm in the capital market. Accounting and Auditing Studies, 2015; 4(13): 20-31. doi: 10.22034/iaas.2015.103469
