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Ioannis Tassopoulos

Laboratory-Teaching Staff
Ioannis Tassopoulos
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

  1. 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).
  2.  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).
  3.  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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8.  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).
  9.  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)
  10. 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).
  11. 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).