Ioannis Tassopoulos
Laboratory-Teaching Staff
Ioannis TassopoulosLaboratory-Teaching Staff
Rank: Laboratory-Teaching Staff, Knowledge Area, Laboratory: Laboratory of Agricultural Economy and Agricultural Policy ,Laboratory of Agribusiness Management, E-mail: johnytass@gmail.com, Phone: +30 26410 74139, Office: Office 0.3, G. Seferi 2, 30100 Agrinion, (2nd Building, Ground Floor), Office Hours: Thursday 14:00-17:30, Friday 18:00-19:00.
Ioannis Tassopoulos
Academic Titles
- BSc in Applied Maths and Computers, Aristotle University of Thessaloniki, 1984
- MSc in Information Systems, Hellenic Open University, 2011
- PhD in Computational Intelligence, University of Patras, Department of Agricultural Products and Food Business Administration (D.E.A.P.T), 2016
Research Interests
- Artificial Intelligence
- Computational Intelligence
- Machine Learning.
- Neural Networks
- Genetic Algorithms/ Evolutionary Algorithms/Genetic Programming /Evolutionary Strategies
- Design and implementation of Information Systems
- Intelligent Information Systems
- Design and Implementation of Intelligent hybrid algorithms for timetabling and scheduling problems
- Computer Vision
- Image and video processing
Publications
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis, “Solving effectively the school timetabling problem using particle swarm optimization”, Expert Systems with Applications, 39(5), pp.6029-6040, 2012 (published by Elsevier monthly, Impact Factor 2011: 2.203) (Λίστες: ISI, Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis, “Using particle swarm optimization to solve effectively the school timetabling problem”, Soft Computing, 16(7), pp. 1229-1252, 2012 (published by Springer monthly, Impact Factor 2011: 1.880) (Λίστες: ISI, Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Grigorios N. Beligiannis,“A hybrid particle swarm optimization based algorithm for high school timetabling problems”, Applied Soft Computing, 12(11), pp. 3472- 3489, 2012, (published by Elsevier monthly, Impact Factor 2011: 2.612). (Λίστες: ISI, Scopus, Scholar Google).
- Solos, I.P.; Tassopoulos, I.X.; Beligiannis, G.N. A Generic Two-Phase Stochastic Variable Neighborhood Approach for Effectively Solving the Nurse Rostering Problem, Algorithms 2013, 6, 278-308. (Λίστες: ISI, Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Ioannis P. Solos and Grigorios N. Beligiannis, “Α two-phase adaptive variable neighborhood approach for nurse rostering”, Computers & Operations Research Journal, 60, pp. 150-169, 2015 (published by Elsevier Science monthly, Impact Factor 2014: 1.718, doi:10.1016/j.cor.2015.02.009). (Λίστες: ISI, Scopus, DBLP, Scholar Google).
- Katsaragakis I.V., Tassopoulos, I.X., Beligiannis, G.N., A Comparative Study of Modern Heuristics on the School Timetabling Problem. Algorithms 2015, 8, 723-742, http://www.mdpi.com/1999- 4893/8/3/723/pdf.(Λίστες: Scopus, Scholar Google).
- I. P. Solos, I. X. Tassopoulos and G. N. Beligiannis, An Effective Stochastic Variable Neighbourhood Approach to Shift Scheduling for Tank Trucks, International Journal of Artificial Intelligence, 2016. Impact Factor 2016: 1.84). (Λίστες: Scopus, Scholar Google).
- Skoullis, V.I., Tassopoulos, I.X., Beligiannis, G.N., “Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm”, Applied Soft Computing, 52, pp. 277-289, 2017. Factor 2017: 3.9 (Λίστες: Scopus, Scholar Google).
- Ioannis X. Tassopoulos, Christina A. Iliopoulou and Grigorios N. Beligiannis, “Solving the Greek school timetabling problem by a Mixed Integer Programming model”, Journal of the Operational Research Society, 2019.(Impact Factor 2018: 1.754)
- Iliopoulou, C., Tassopoulos, I. Kepaptoglou, K, Beligiannis, G. “Electric Transit Route Network Design Problem: Model and application”, Transportation Research Record, 2019, Volume: 2673 issue: 8, page(s): 264-274 (Impact Factor 2018: 0.748) (Λίστες: Scopus, Scholar Google).
- Iosif V. Katsaragakis, Ioannis X. Tassopoulos and Grigorios N. Beligiannis Solving the Urban Transit Routing Problem Using a Cat Swarm Optimization-Based Algorithm, Algorithms, Volume: 13 issue: 9 page 223 (2020).