An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis T Niknam, B Amiri Applied soft computing 10 (1), 183-197, 2010 | 557 | 2010 |
Application of honey-bee mating optimization algorithm on clustering M Fathian, B Amiri, A Maroosi Applied Mathematics and Computation 190 (2), 1502-1513, 2007 | 327 | 2007 |
Application of shuffled frog-leaping algorithm on clustering B Amiri, M Fathian, A Maroosi The international journal of advanced manufacturing technology 45, 199-209, 2009 | 217 | 2009 |
Community detection in complex networks: Multi–objective enhanced firefly algorithm B Amiri, L Hossain, JW Crawford, RT Wigand Knowledge-Based Systems 46, 1-11, 2013 | 183 | 2013 |
A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch T Niknam, R Azizipanah-Abarghooee, A Roosta, B Amiri Energy 42 (1), 530-545, 2012 | 154 | 2012 |
An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering T Niknam, B Amiri, J Olamaei, A Arefi Journal of Zhejiang University-SCIENCE A 10, 512-519, 2009 | 137 | 2009 |
A honeybee-mating approach for cluster analysis M Fathian, B Amiri The International Journal of Advanced Manufacturing Technology 38, 809-821, 2008 | 78 | 2008 |
A hybrid evolutionary algorithm based on ACO and SA for cluster analysis T Niknam, J Olamaei, B Amiri Journal of Applied sciences 8 (15), 2695-2702, 2008 | 60 | 2008 |
Application of teaching-learning-based optimization algorithm on cluster analysis B Amiri Journal of Basic and Applied Scientific Research 2 (11), 11795-11802, 2012 | 54 | 2012 |
Multi-objective probabilistic reactive power and voltage control with wind site correlations M Zare, T Niknam, R Azizipanah-Abarghooee, B Amiri Energy 66, 810-822, 2014 | 53 | 2014 |
Integration of self organizing feature maps and honey bee mating optimization algorithm for market segmentation. B Amiri, M Fathian Journal of Theoretical & Applied Information Technology 3 (3), 2007 | 44 | 2007 |
A hybrid artificial immune network for detecting communities in complex networks AM Karimi-Majd, M Fathian, B Amiri Computing 97, 483-507, 2015 | 39 | 2015 |
A data-driven and network-aware approach for credit risk prediction in supply chain finance M Rishehchi Fayyaz, MR Rasouli, B Amiri Industrial Management & Data Systems 121 (4), 785-808, 2021 | 38 | 2021 |
Application of harmony search algorithm on clustering B Amiri, L Hossain, SE Mosavi Proceedings of the world congress on engineering and computer science 1, 20-22, 2010 | 36 | 2010 |
A new clustering algorithm based on hybrid global optimizationbased on a dynamical systems approach algorithm A Maroosi, B Amiri Expert Systems with Applications 37 (8), 5645-5652, 2010 | 25 | 2010 |
Evolutionary algorithms for k-anonymity in social networks based on clustering approach N Yazdanjue, M Fathian, B Amiri The Computer Journal 63 (7), 1039-1062, 2020 | 21 | 2020 |
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data H Khosravi, B Amiri, N Yazdanjue, V Babaiyan Expert Systems with Applications 204, 117493, 2022 | 18 | 2022 |
Model optimization analysis of customer churn prediction using machine learning algorithms with focus on feature reductions SM Sina Mirabdolbaghi, B Amiri Discrete Dynamics in Nature and Society 2022, 2022 | 18 | 2022 |
An efficient multiobjective evolutionary algorithm for community detection in social networks B Amiri, L Hossain, JW Crawford 2011 IEEE Congress of Evolutionary Computation (CEC), 2193-2199, 2011 | 18 | 2011 |
A multiobjective hybrid evolutionary algorithm for clustering in social networks B Amiri, L Hossain, J Crowford Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 13 | 2012 |