| Animal migration optimization: an optimization algorithm inspired by animal migration behavior X Li, J Zhang, M Yin Neural computing and applications 24, 1867-1877, 2014 | 312 | 2014 |
| Modified cuckoo search algorithm with self adaptive parameter method X Li, M Yin Information Sciences 298, 80-97, 2015 | 228 | 2015 |
| An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure X Li, M Yin Advances in Engineering Software 55, 10-31, 2013 | 171 | 2013 |
| Enhancing the performance of cuckoo search algorithm using orthogonal learning method X Li, J Wang, M Yin Neural Computing and Applications 24, 1233-1247, 2014 | 166 | 2014 |
| A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering M Yin, Y Hu, F Yang, X Li, W Gu Expert Systems with Applications 38 (8), 9319-9324, 2011 | 151 | 2011 |
| Multiobjective binary biogeography based optimization for feature selection using gene expression data X Li, M Yin IEEE Transactions on NanoBioscience 12 (4), 343-353, 2013 | 138 | 2013 |
| A hybrid cuckoo search via Lévy flights for the permutation flow shop scheduling problem X Li, M Yin International Journal of Production Research 51 (16), 4732-4754, 2013 | 121 | 2013 |
| Parameter estimation for chaotic systems by hybrid differential evolution algorithm and artificial bee colony algorithm X Li, M Yin Nonlinear Dynamics 77, 61-71, 2014 | 105 | 2014 |
| A perturb biogeography based optimization with mutation for global numerical optimization X Li, J Wang, J Zhou, M Yin Applied Mathematics and Computation 218 (2), 598-609, 2011 | 105 | 2011 |
| Self-adaptive constrained artificial bee colony for constrained numerical optimization X Li, M Yin Neural Computing and Applications 24, 723-734, 2014 | 93 | 2014 |
| Application of differential evolution algorithm on self-potential data X Li, M Yin PloS one 7 (12), e51199, 2012 | 87 | 2012 |
| Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method L Xiang-Tao, Y Ming-Hao Chinese Physics B 21 (5), 050507, 2012 | 81 | 2012 |
| Multi-objective Discrete Artificial Bee Colony Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Sequence Dependent Setup Times X Li, S Ma IEEE Transactions on Engineering Management, 2017 | 69 | 2017 |
| A novel objective function for job-shop scheduling problem with fuzzy processing time and fuzzy due date using differential evolution algorithm Y Hu, M Yin, X Li The International Journal of Advanced Manufacturing Technology 56, 1125-1138, 2011 | 68 | 2011 |
| Evolutionary Multi-objective Clustering and Its Applications to Patient Stratification X Li, KC Wong IEEE Transactions on Cybernetics, 2018 | 66 | 2018 |
| Multi-operator based biogeography based optimization with mutation for global numerical optimization X Li, M Yin Computers & Mathematics with Applications 64 (9), 2833-2844, 2012 | 66 | 2012 |
| A particle swarm inspired cuckoo search algorithm for real parameter optimization X Li, M Yin Soft Computing 20, 1389-1413, 2016 | 65 | 2016 |
| A discrete artificial bee colony algorithm with composite mutation strategies for permutation flow shop scheduling problem X Li, M Yin Scientia Iranica 19 (6), 1921-1935, 2012 | 57 | 2012 |
| Modified differential evolution with self-adaptive parameters method X Li, M Yin Journal of Combinatorial Optimization 31, 546-576, 2016 | 56 | 2016 |
| Differential evolution for prediction of longitudinal dispersion coefficients in natural streams X Li, H Liu, M Yin Water resources management 27, 5245-5260, 2013 | 54 | 2013 |
Ka-Chun WongStanford's top 2% most highly cited scientists (v5,v6)Verified email at cs.toronto.edu
