Conference Papers

1.    A.P. Lambros, R. Dotcheva, S. Kazarlis, “Simulation Methods for a Telecommunication Network”, Proceedings of the 5^th International Conference on Telecommunications “Improvements of Technological Processes in Telecommunications” (TELECOM ’88), Varna, Bulgaria, October 6-8, 1988.

2.    V. Petridis, S.Kazarlis, A.Papaikonomou and A. Filelis, "A Hybrid Genetic Algorithm for Training Neural Networks," Proceedings of the 2^nd International Conference on Artificial Neural Networks (ICANN '92), Sep. 1992, Brighton England, vol. 2, p.p. 953-956.

3.    V. Petridis, S.Kazarlis and A.Papaikonomou, "A Genetic Algorithm for Training Recurrent Neural Networks," Proceedings of the 1993 International Joint Conference on Neural Networks (IJCNN '93), Oct. 1993, Nagoya Japan, vol. 3, pp. 2706-2709.

4.    V. Petridis and S. Kazarlis, “Varying Quality Function in Genetic Algorithms and the Cutting Problem,” Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE Service Center, 1994, Vol. 1, pp. 166-169.

5.    S.A. Kazarlis, A.G. Bakirtzis, V. Petridis, “A Genetic Algorithm Solution to the Unit Commitment Problem,” presented in the 1994-95 IEEE/PES Winter Meeting, 152-9 PWRS, NY, Jan 1995.

6.    S.A. Kazarlis, A.G. Bakirtzis, V. Petridis, “A Genetic Algorithm Solution to the Unit Commitment Problem,” Workshop on Contemporary Problems in Power Engineering, Thessaloniki Greece, 11-12 April 1995, pp. 285-298.

7.    S. Kazarlis, A. Bakirtzis and V. Petridis, “Optimal Unit Commitment using Genetic Algorithms,” presented at the CIGRE Greek National Committee, Athens, Greece, 4-5 Dec. 1997.

8.    P. Adamidis, S. Kazarlis, V. Petridis, “Advanced Methods for Evolutionary Optimisation,” 8th IFAC/IFORS/IMACS/IFIP Symposium Large Scale Systems Theory & Applications - LSS’98 (Invited Session on Evolutionary Algorithms), Patras, Greece, July 15-18, 1998.

9.    S. Kazarlis and V. Petridis, “Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms,” Proceedings of the 5^th International Conference on Parallel Problem Solving from Nature (PPSN-V), Amsterdam, 27-30 September 1998, pp. 211-220.

10. V. Petridis, V.Kaburlazos, S. Kazarlis, “Simulation and Hyper-text. Software for Practicing in Real-Time Systems (PYLES),” Panhellenic Conference : Research for Greek Education sponsored by the Center for Educational Research (KEE) of the Ministry of Education, Athens, 21-23 September 2000, Submission Abstracts : pp. 200-206.

11. V. Petridis, L. Petrou, V.G. Kaburlasos, V. Spais, and S. Kazarlis, “Models for Predicting Sugar Production in Greece,” in Proceedings of the Panhellenic Conference on Automation, Robotics and Industrial Production – The role of Information Technology, Santorini, Greece 28-30 June 2001.

12. V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, and A. Kallinakis, “Intelligent Clustering Techniques for Prediction of Sugar Production,” Proceedings of the European Workshop on Intelligent Forecasting, Diagnosis and Control, Santorini, Greece, 24-28 June 2001.

13. S.A. Kazarlis, “Micro-Genetic Algorithms As Generalized Hill-Climbing Operators for GA Optimization of Combinatorial Problems – Application to Power Systems Scheduling”, Proceedings of the 4^th Conference on Technology and Automation, October 2002, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 300-305.

14. V.G. Kaburlazos, S. Kazarlis, “σ-FLNMAP with Voting (σFLNMAPwV): A Genetically Optimized Ensemble of Classifiers With the Capacity to Deal With Partially-Ordered, Disparate Types of Data - Application to Financial Problems”, Proceedings of the 4^th Conference on Technology and Automation, October 2002, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 276-281.

15. V.G. Kaburlazos, S.E. Papadakis, S. Kazarlis, “A genetically Optimized Ensemble of s-FLNMAP Neural Classifiers Based on Non-Parametric Probability Distribution Functions”, Proceedings of the IEEE International Joint Conference on Neural Networks 2003 (IJCNN 2003), July 20-24, Portland, Oregon, USA, pp. 426-431.

16. S. Kazarlis, V. Petridis and P. Fragkou, “Solving University Timetabling Problems Using Advanced Genetic Algorithms,” Proceedings of the 5th International Conference on Technology and Automation (ICTA'05), Thessaloniki, Greece, 15-16 Oct, 2005, pp. 131-136.

17. S. Kazarlis, “Combinatorial Hill Climbing Using Micro-Genetic Algorithms”, Proceedings of the CISSE 2006 International Conference on Computer, Information, and Systems Sciences, and Engineering, Dec 4-14 2006.

18. Spyros A. Kazarlis, “Constraint Handling Methods in Genetic Algorithms”, Proceedings of the 11th PANHELLENIC CONFERENCE IN INFORMATICS (PCI 2007), MAY 18-20, 2007, University of Patras, Patras, Greece, Vol. A, pp. 591-606.

19. S. Kazarlis, V. Petridis, P. Adamidis, P. Fragou, M. Savvopoulos, “Optimal Timetable Production using Evolutionary Computation Methods”, Proceedings of the 2^nd Panhellenic Conference of Mechanical and Electrical Engineers, Athens, paper Β-30, section Β-5, pp. 69, 16-18 May 2007

20. Spyros Kazarlis, Vassilios Petridis, Panagiotis Adamidis, Paulina Fragkou, “Evolutionary Timetabling with a Priority-Based Indirect Representation”, Proceedings of the 22^nd European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.

21. Panagiotis Adamidis, Michail Vrettas, Spyros Kazarlis, “Exam Timetabling with Parallel Evolutionary Algorithms: Comparison of Different Selection Methods”, Proceedings of the 22^nd European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.