| A nonmonotone trust-region line search method for large-scale unconstrained optimization M Ahookhosh, K Amini, MR Peyghami Applied Mathematical Modelling 36 (1), 478-487, 2012 | 110 | 2012 |
| Complexity of interior-point methods for linear optimization based on a new trigonometric kernel function MR Peyghami, SF Hafshejani, L Shirvani Journal of Computational and Applied Mathematics 255, 74-85, 2014 | 66 | 2014 |
| Complexity analysis of an interior-point algorithm for linear optimization based on a new proximity function MR Peyghami, SF Hafshejani Numerical Algorithms 67 (1), 33-48, 2014 | 47 | 2014 |
| The central path visits all the vertices of the Klee–Minty cube A Deza, E Nematollahi, R Peyghami, T Terlaky Optimisation Methods and Software 21 (5), 851-865, 2006 | 33 | 2006 |
| A new nonsmooth trust region algorithm for locally Lipschitz unconstrained optimization problems Z Akbari, R Yousefpour, M Reza Peyghami Journal of Optimization Theory and Applications 164 (3), 733-754, 2015 | 25 | 2015 |
| Exploring complexity of large update interior-point methods for P∗(κ) linear complementarity problem based on kernel function K Amini, MR Peyghami Applied Mathematics and Computation 207 (2), 501-513, 2009 | 24 | 2009 |
| A primal–dual interior-point method for semidefinite optimization based on a class of trigonometric barrier functions MR Peyghami, S Fathi-Hafshejani, S Chen Operations Research Letters 44 (3), 319-323, 2016 | 23 | 2016 |
| Primal–dual interior-point method for linear optimization based on a kernel function with trigonometric growth term S Fathi-Hafshejani, H Mansouri, M Reza Peyghami, S Chen Optimization 67 (10), 1605-1630, 2018 | 22 | 2018 |
| A new class of efficient and globally convergent conjugate gradient methods in the Dai–Liao family MR Peyghami, H Ahmadzadeh, A Fazli Optimization Methods and Software 30 (4), 843-863, 2015 | 22 | 2015 |
| A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems M Reza Peyghami, D Ataee Tarzanagh Computational Optimization and Applications 61 (2), 321-341, 2015 | 22 | 2015 |
| Novel MLP neural network with hybrid tabu search algorithm MR Peyghami, R Khanduzi Neural Network World 23 (3), 255, 2013 | 21 | 2013 |
| Data envelopment analysis and interdiction median problem with fortification for enabling IoT technologies to relieve potential attacks R Khanduzi, MR Peyghami, AK Sangaiah Future Generation Computer Systems 79, 928-940, 2018 | 20 | 2018 |
| An interior-point method for -linear complementarity problem based on a trigonometric kernel function SF Hafshejani, M Fatemi, MR Peyghami Journal of Applied Mathematics and Computing 48 (1), 111-128, 2015 | 20 | 2015 |
| A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius D Ataee Tarzanagh, MR Peyghami, H Mesgarani Optimization methods and software 29 (4), 819-836, 2014 | 19 | 2014 |
| A kernel function based Interior-Point Methods for solving P*(κ)-linear complementarity problem MR Peyghami, K Amini Acta Mathematica Sinica, English Series 26 (9), 1761-1778, 2010 | 19 | 2010 |
| A large-update primal–dual interior-point algorithm for second-order cone optimization based on a new proximity function S Fathi-Hafshejani, H Mansouri, MR Peyghami Optimization 65 (7), 1477-1496, 2016 | 16 | 2016 |
| An interior point approach for semidefinite optimization using new proximity functions MR Peyghami Asia-Pacific Journal of Operational Research 26 (03), 365-382, 2009 | 16 | 2009 |
| Predictability and forecasting automotive price based on a hybrid train algorithm of MLP neural network MR Peyghami, R Khanduzi Neural Computing and Applications 21 (1), 125-132, 2012 | 15 | 2012 |
| A modified teaching–learning-based optimization for optimal control of Volterra integral systems R Khanduzi, A Ebrahimzadeh, MR Peyghami Soft Computing 22 (17), 5889-5899, 2018 | 14 | 2018 |
| Optimal rate for irregular LDPC codes in binary erasure channel H Tavakoli, MA Attari, MR Peyghami 2011 IEEE Information Theory Workshop, 125-129, 2011 | 14 | 2011 |
Sajad Fathi HafshejaniUniversity of LethbridgeVerified email at uleth.ca
