| The best-so-far selection in artificial bee colony algorithm A Banharnsakun, T Achalakul, B Sirinaovakul Applied soft computing 11 (2), 2888-2901, 2011 | 598 | 2011 |
| Job shop scheduling with the best-so-far ABC A Banharnsakun, B Sirinaovakul, T Achalakul Engineering Applications of Artificial Intelligence 25 (3), 583-593, 2012 | 163 | 2012 |
| Hybrid ABC-ANN for pavement surface distress detection and classification A Banharnsakun International Journal of Machine Learning and Cybernetics 8, 699-710, 2017 | 79 | 2017 |
| A MapReduce-based artificial bee colony for large-scale data clustering A Banharnsakun Pattern Recognition Letters 93, 78-84, 2017 | 74 | 2017 |
| Artificial bee colony algorithm on distributed environments A Banharnsakun, T Achalakul, B Sirinaovakul 2010 second world congress on nature and biologically inspired computing …, 2010 | 57 | 2010 |
| Towards improving the convolutional neural networks for deep learning using the distributed artificial bee colony method A Banharnsakun International journal of machine learning and cybernetics 10 (6), 1301-1311, 2019 | 49 | 2019 |
| Object Detection Based on Template Matching through Use of Best‐So‐Far ABC A Banharnsakun, S Tanathong Computational intelligence and neuroscience 2014 (1), 919406, 2014 | 45 | 2014 |
| Reducing bioinformatics data dimension with ABC-kNN T Prasartvit, A Banharnsakun, B Kaewkamnerdpong, T Achalakul Neurocomputing 116, 367-381, 2013 | 43 | 2013 |
| Artificial bee colony approach for enhancing LSB based image steganography A Banharnsakun Multimedia Tools and Applications 77 (20), 27491-27504, 2018 | 40 | 2018 |
| ABC-GSX: A hybrid method for solving the Traveling Salesman Problem A Banharnsakun, T Achalakul, B Sirinaovakul 2010 second world congress on nature and biologically inspired computing …, 2010 | 40 | 2010 |
| The best-so-far ABC with multiple patrilines for clustering problems A Banharnsakun, B Sirinaovakul, T Achalakul Neurocomputing 116, 355-366, 2013 | 38 | 2013 |
| Artificial bee colony algorithm for enhancing image edge detection A Banharnsakun Evolving Systems 10 (4), 679–687, 2019 | 33 | 2019 |
| Target finding and obstacle avoidance algorithm for microrobot swarms A Banharnsakun, T Achalakul, RC Batra 2012 IEEE International Conference on systems, man, and cybernetics (SMC …, 2012 | 25 | 2012 |
| Artificial bee colony algorithm for content‐based image retrieval A Banharnsakun Computational Intelligence 36 (1), 351-367, 2020 | 21 | 2020 |
| Multi-focus image fusion using best-so-far ABC strategies A Banharnsakun Neural Computing and Applications 31 (7), 2025–2040, 2019 | 19 | 2019 |
| Feature point matching based on ABC-NCC algorithm A Banharnsakun Evolving Systems 9 (1), 71-80, 2018 | 16 | 2018 |
| Multiple traffic sign detection based on the artificial bee colony method A Banharnsakun Evolving Systems 9 (3), 255-264, 2018 | 14 | 2018 |
| Drug delivery based on swarm microrobots A Banharnsakun, T Achalakul, RC Batra International Journal of Computational Intelligence and Applications 15 (02 …, 2016 | 11 | 2016 |
| A new approach for solving the minimum vertex cover problem using artificial bee colony algorithm A Banharnsakun Decision Analytics Journal 6, 100175, 2023 | 7 | 2023 |
| A hierarchical clustering of features approach for vehicle tracking in traffic environments A Banharnsakun, S Tanathong International Journal of Intelligent Computing and Cybernetics 9 (4), 354-368, 2016 | 7 | 2016 |
Tiranee AchalakulKing Mongkut's University of Technology ThonburiPreverjeni e-poštni naslov na cpe.kmutt.ac.th