Grigorios N. Beligiannis
Cited by
Cited by
Applying evolutionary computation to the school timetabling problem: The Greek case
GN Beligiannis, CN Moschopoulos, GP Kaperonis, SD Likothanassis
Computers & Operations Research 35 (4), 1265-1280, 2008
A hybrid particle swarm optimization based algorithm for high school timetabling problems
IX Tassopoulos, GN Beligiannis
applied soft computing 12 (11), 3472-3489, 2012
Solving effectively the school timetabling problem using particle swarm optimization
IX Tassopoulos, GN Beligiannis
Expert Systems with Applications 39 (5), 6029-6040, 2012
A genetic algorithm approach to school timetabling
GN Beligiannis, C Moschopoulos, SD Likothanassis
Journal of the Operational Research Society 60 (1), 23-42, 2009
Solving the urban transit routing problem using a particle swarm optimization based algorithm
PN Kechagiopoulos, GN Beligiannis
Applied Soft Computing 21, 654-676, 2014
Nonlinear model structure identification of complex biomedical data using a genetic-programming-based technique
GN Beligiannis, LV Skarlas, SD Likothanassis, KG Perdikouri
IEEE Transactions on Instrumentation and Measurement 54 (6), 2184-2190, 2005
A generic applied evolutionary hybrid technique
G Beligiannis, L Skarlas, S Likothanassis
IEEE Signal Processing Magazine 21 (3), 28-38, 2004
Integrating e-learning environments with computational intelligence assessment agents
CE Alexakos, KC Giotopoulos, EJ Thermogianni, GN Beligiannis, ...
World Academy of Science, Engineering and Technology 19 (8), 117-120, 2006
Genetically determined variable structure multiple model estimation
SK Katsikas, SD Likothanassis, GN Beligiannis, KG Berkeris, DA Fotakis
IEEE Transactions on Signal Processing 49 (10), 2253-2261, 2001
Using a hybrid AI approach for exercise difficulty level adaptation
C Koutsojannis, G Beligiannis, I Hatzilygeroudis, C Papavlasopoulos, ...
International Journal of Continuing Engineering Education and Life Long…, 2007
Optimizing shift scheduling for tank trucks using an effective stochastic variable neighbourhood approach
IP Solos, IX Tassopoulos, GN Beligiannis
Int. J. Artif. Intell 14 (1), 1-26, 2016
Using particle swarm optimization to solve effectively the school timetabling problem
IX Tassopoulos, GN Beligiannis
Soft Computing 16 (7), 1229-1252, 2012
Integrating Agents and Computational Intelligence Techniques in E-learning Environments.
KC Giotopoulos, CE Alexakos, GN Beligiannis, SD Likothanassis
IEC (Prague), 231-238, 2005
A generic two-phase stochastic variable neighborhood approach for effectively solving the nurse rostering problem
IP Solos, IX Tassopoulos, GN Beligiannis
Algorithms 6 (2), 278-308, 2013
Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm
VI Skoullis, IX Tassopoulos, GN Beligiannis
Applied Soft Computing 52, 277-289, 2017
Restartings: A Technique to Improve Classic Genetic Algorithms' Performance.
GN Beligiannis, GA Tsirogiannis, PE Pintelas
International Conference on Computational Intelligence, 404-407, 2004
two-phase adaptive variable neighborhood approach for nurse rostering
IX Tassopoulos, IP Solos, GN Beligiannis
Computers & Operations Research 60, 150-169, 2015
A comparative study of modern heuristics on the school timetabling problem
IV Katsaragakis, IX Tassopoulos, GN Beligiannis
Algorithms 8 (3), 723-742, 2015
Combining experimental design and artificial neural networks for the determination of chlorinated compounds in fish using matrix solid-phase dispersion
VD Papadopoulos, GN Beligiannis, DG Hela
Applied Soft Computing 11 (8), 5155-5164, 2011
Combining evolutionary and stochastic gradient techniques for system identification
K Theofilatos, G Beligiannis, S Likothanassis
Journal of Computational and Applied Mathematics 227 (1), 147-160, 2009
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