| Recent approaches to global optimization problems through particle swarm optimization KE Parsopoulos, MN Vrahatis Natural Computing 1 (2-3), 235-306, 2002 | 2170 | 2002 |
| Particle swarm optimization method in multiobjective problems KE Parsopoulos, MN Vrahatis ACM Symposium on Applied Computing, 603-607, 2002 | 1130 | 2002 |
| On the computation of all global minimizers through particle swarm optimization KE Parsopoulos, MN Vrahatis IEEE Transactions on Evolutionary Computation 8 (3), 211-224, 2004 | 987 | 2004 |
| Particle swarm optimization method for constrained optimization problems KE Parsopoulos, MN Vrahatis Frontiers in Artificial Intelligence and Applications 76 (Intelligent …, 2002 | 936 | 2002 |
| Particle swarm optimization and intelligence: Advances and applications KE Parsopoulos, MN Vrahatis Information Science Publishing (IGI Global), USA, 2010 | 836* | 2010 |
| UPSO: A unified particle swarm optimization scheme KE Parsopoulos, MN Vrahatis Lecture Series on Computer and Computational Sciences 1, 868-873, 2004 | 449* | 2004 |
| No free lunch theorem: A review SP Adam, SAN Alexandropoulos, PM Pardalos, MN Vrahatis Springer Optimization and Its Applications 145, 57-82, 2019 | 427 | 2019 |
| Particle swarm optimization for integer programming EC Laskari, KE Parsopoulos, MN Vrahatis IEEE Congress on Evolutionary Computation 2, 1582-1587, 2002 | 395 | 2002 |
| Enhancing differential evolution utilizing proximity-based mutation operators MG Epitropakis, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis IEEE Transactions on Evolutionary Computation 15 (1), 99-119, 2011 | 371 | 2011 |
| Unified particle swarm optimization for solving constrained engineering optimization problems KE Parsopoulos, MN Vrahatis Lecture Notes in Computer Science 3612, 582-591, 2005 | 326 | 2005 |
| Parallel differential evolution DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis IEEE Congress on Evolutionary Computation 2, 2023-2029, 2004 | 307 | 2004 |
| Effective backpropagation training with variable stepsize GD Magoulas, MN Vrahatis, GS Androulakis Neural Networks 10 (1), 69-82, 1997 | 306 | 1997 |
| Multiobjective optimization using parallel vector evaluated particle swarm optimization KE Parsopoulos, DK Tasoulis, MN Vrahatis Artificial Intelligence and Applications 2, 823-828, 2004 | 267 | 2004 |
| New globally convergent training scheme based on the resilient propagation algorithm AD Anastasiadis, GD Magoulas, MN Vrahatis Neurocomputing 64, 253-270, 2005 | 246 | 2005 |
| A first study of fuzzy cognitive maps learning using particle swarm optimization KE Parsopoulos, EI Papageorgiou, PP Groumpos, MN Vrahatis IEEE Congress on Evolutionary Computation 2, 1440-1447, 2003 | 241 | 2003 |
| Particle swarm optimizer in noisy and continuously changing environments KE Parsopoulos, MN Vrahatis Artificial Intelligence and Soft Computing, 289-294, 2001 | 231 | 2001 |
| Stretching technique for obtaining global minimizers through particle swarm optimization KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis Particle Swarm Optimization Workshop, 22-29, 2001 | 221 | 2001 |
| Fuzzy cognitive maps learning using particle swarm optimization EI Papageorgiou, KE Parsopoulos, CS Stylios, PP Groumpos, ... Journal of intelligent information systems 25, 95-121, 2005 | 219 | 2005 |
| Improving the convergence of the backpropagation algorithm using learning rate adaptation methods GD Magoulas, MN Vrahatis, GS Androulakis Neural Computation 11 (7), 1769-1796, 1999 | 216 | 1999 |
| Detecting order and chaos in Hamiltonian systems by the SALI method C Skokos, C Antonopoulos, TC Bountis, MN Vrahatis Journal of Physics A: Mathematical and General 37 (24), 6269-6284, 2004 | 215 | 2004 |
