| Accelerating differential evolution using an adaptive local search N Noman, H Iba IEEE Transactions on evolutionary Computation 12 (1), 107-125, 2008 | 772 | 2008 |
| Differential evolution for economic load dispatch problems N Noman, H Iba Electric power systems research 78 (8), 1322-1331, 2008 | 606 | 2008 |
| Inferring gene regulatory networks using differential evolution with local search heuristics N Noman, H Iba IEEE/ACM Transactions on computational biology and bioinformatics 4 (4), 634-647, 2007 | 185 | 2007 |
| Enhancing differential evolution performance with local search for high dimensional function optimization N Noman, H Iba Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 177 | 2005 |
| A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines M Abedi, R Chiong, N Noman, R Zhang Expert Systems with Applications 157, 113348, 2020 | 112 | 2020 |
| Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information AK Biswas, N Noman, AR Sikder BMC bioinformatics 11, 1-17, 2010 | 107 | 2010 |
| Heterogeneous ensemble combination search using genetic algorithm for class imbalanced data classification MN Haque, N Noman, R Berretta, P Moscato PloS one 11 (1), e0146116, 2016 | 93 | 2016 |
| Reverse engineering gene regulatory network from microarray data using linear time-variant model M Kabir, N Noman, H Iba BMC bioinformatics 11, 1-15, 2010 | 93 | 2010 |
| Inference of gene regulatory networks using s-system and differential evolution N Noman, H Iba Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 84 | 2005 |
| Reverse engineering genetic networks using evolutionary computation N Noman, H Iba Genome informatics 16 (2), 205-214, 2005 | 82 | 2005 |
| Reverse engineering of gene regulatory networks using dissipative particle swarm optimization L Palafox, N Noman, H Iba IEEE Transactions on Evolutionary Computation 17 (4), 577-587, 2012 | 79 | 2012 |
| A novel U-shaped transfer function for binary particle swarm optimisation S Mirjalili, H Zhang, S Mirjalili, S Chalup, N Noman Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume …, 2020 | 66 | 2020 |
| An adaptive differential evolution algorithm N Noman, D Bollegala, H Iba Evolutionary Computation (CEC), 2011 IEEE Congress on, 2229-2236, 2011 | 65 | 2011 |
| Reconstruction of gene regulatory networks from gene expression data using decoupled recurrent neural network model N Noman, L Palafox, H Iba Natural computing and beyond 6, 93-103, 2013 | 57 | 2013 |
| Deep neural evolution H Iba, N Nasimul Springer: Berlin/Heidelberg, Germany, 2020 | 43 | 2020 |
| An effective method for evolving reaction networks in synthetic biochemical systems HQ Dinh, N Aubert, N Noman, T Fujii, Y Rondelez, H Iba IEEE Transactions on Evolutionary computation 19 (3), 374-386, 2014 | 43 | 2014 |
| Evolutionary computation in gene regulatory network research Y Pan, AY Zomaya John Wiley & Sons, 2016 | 42* | 2016 |
| Inference of genetic networks using S-system: information criteria for model selection N Noman, H Iba Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 42 | 2006 |
| Improved soft actor-critic: Mixing prioritized off-policy samples with on-policy experiences C Banerjee, Z Chen, N Noman IEEE Transactions on Neural Networks and Learning Systems 35 (3), 3121-3129, 2022 | 40 | 2022 |
| Evolving robust gene regulatory networks N Noman, T Monjo, P Moscato, H Iba PloS one 10 (1), e0116258, 2015 | 40 | 2015 |
Leon PalafoxUniversidad Panamericana, Facultad de Ingeniería, Ciudad de México, MéxicoE-mailová adresa ověřena na: up.edu.mx
