| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4628624 | Applied Mathematics and Computation | 2013 | 9 Pages |
Abstract
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms used in optimization problems. ABC simulates the intelligent foraging behavior of a honeybee swarm. In this paper, two aspects of ABC algorithm are modified and new configurations are used. The modified versions are tested on some well-known benchmark functions. Results show that the new changes have positive effects on the performance of ABC algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Amir Alizadegan, Babak Asady, Mohammad Ahmadpour,