| The best-so-far selection in artificial bee colony algorithm A Banharnsakun, T Achalakul, B Sirinaovakul Applied soft computing 11 (2), 2888-2901, 2011 | 566 | 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 | 152 | 2012 |
| Cost optimal scheduling in IaaS for dependent workload with particle swarm optimization N Netjinda, B Sirinaovakul, T Achalakul The Journal of Supercomputing 68, 1579-1603, 2014 | 69 | 2014 |
| Deep belief networks with feature selection for sentiment classification P Ruangkanokmas, T Achalakul, K Akkarajitsakul 2016 7th International Conference on Intelligent Systems, Modelling and …, 2016 | 66 | 2016 |
| Particle Swarm Optimization inspired by starling flock behavior N Netjinda, T Achalakul, B Sirinaovakul Applied Soft Computing 35, 411-422, 2015 | 64 | 2015 |
| Failure prediction of data centers using time series and fault tree analysis T Chalermarrewong, T Achalakul, SCW See 2012 IEEE 18th International Conference on Parallel and Distributed Systems …, 2012 | 57 | 2012 |
| Emotional healthcare system: Emotion detection by facial expressions using Japanese database S Tivatansakul, M Ohkura, S Puangpontip, T Achalakul 2014 6th computer science and electronic engineering conference (CEEC), 41-46, 2014 | 54 | 2014 |
| Artificial bee colony algorithm on distributed environments A Banharnsakun, T Achalakul, B Sirinaovakul 2010 second world congress on nature and biologically inspired computing …, 2010 | 53 | 2010 |
| Reducing bioinformatics data dimension with ABC-kNN T Prasartvit, A Banharnsakun, B Kaewkamnerdpong, T Achalakul Neurocomputing 116, 367-381, 2013 | 40 | 2013 |
| A distributed spectral-screening PCT algorithm T Achalakul, S Taylor Journal of Parallel and Distributed Computing 63 (3), 373-384, 2003 | 39 | 2003 |
| 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 | 38 | 2010 |
| The best-so-far ABC with multiple patrilines for clustering problems A Banharnsakun, B Sirinaovakul, T Achalakul Neurocomputing 116, 355-366, 2013 | 37 | 2013 |
| A multiple-objective workflow scheduling framework for cloud data analytics O Udomkasemsub, L Xiaorong, T Achalakul 2012 Ninth International Conference on Computer Science and Software …, 2012 | 35 | 2012 |
| Cost optimization in cloud provisioning using particle swarm optimization N Netjinda, B Sirinaovakul, T Achalakul 2012 9th International Conference on Electrical Engineering/Electronics …, 2012 | 30 | 2012 |
| Real‐time multi‐spectral image fusion T Achalakul, S Taylor Concurrency and computation: Practice and experience 13 (12), 1063-1081, 2001 | 29 | 2001 |
| GPGPU acceleration algorithm for medical image reconstruction V Archirapatkave, H Sumilo, SCW See, T Achalakul 2011 IEEE Ninth International Symposium on Parallel and Distributed …, 2011 | 27 | 2011 |
| The design of a fault management framework for cloud T Chalermarrewong, T Achalakul, SCW See 2012 9th International Conference on Electrical Engineering/Electronics …, 2012 | 22 | 2012 |
| A concurrent spectral-screening PCT algorithm for remote sensing applications T Achalakul, S Taylor Information Fusion 1 (2), 89-97, 2000 | 22 | 2000 |
| RapidMiner framework for manufacturing data analysis on the cloud N Kitcharoen, S Kamolsantisuk, R Angsomboon, T Achalakul The 2013 10th International Joint Conference on Computer Science and …, 2013 | 21 | 2013 |
| 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 | 21 | 2012 |
