Using fuzzy c-means clustering algorithm for common lecturer timetabling among departments

Subject Areas : Clustering and Classification

hamed  babaei ¹ (islamic azad university, ahar branch)
Jaber  Karimpour ² (Department of Computer Sciences, University of Tabriz, Tabriz, Iran)
Sajjad  Mavizi ³ (Department of Computer Engineering, Islamic Azad University,Shabestar Branch, Shabestar, Iran)

Received: 2015-12-04 Accepted : 2017-01-29 Published : 2017-02-01

Keywords:

References:

[1] Babaei, H., Karimpour, J., Hadidi, A., "A survey of approaches for university course timetabling problem," Computers & Industrial Engineering 86 (2015), pp. 43–59, 2015.
[2] Feizi-Derakhshi, M. R., Babaei, H., Heidarzadeh, J., "A Survey of Approaches for University Course TimeTabling Problem," Proceedings of 8th International Symposium on Intelligent and Manufacturing Systems, Sakarya University Department of Industrial Engineering, Adrasan, Antalya, Turkey, pp. 307-321, 2012.
[3] Obit, J. H., Developing Novel Meta-heuristic, Hyper-heuristic and Cooperative Search for Course Timetabling Problems, Ph.D. Thesis, School of Computer Science University of Nottingham, 2010.
[4] Gotlib, C. C., "The Construction of Class-Teacher TimeTables," Proc IFIP Congress, Vol. 62, pp. 73-77, 1963.
[5] Asmuni, H., Fuzzy Methodologies for Automated University Timetabling Solution Construction and Evaluation, Ph.D. Thesis, School of Computer Science University of Nottingham, 2008.
[6] Lewis, M. R., Metaheuristics for University Course Timetabling, Ph.D. Thesis, Napier University, 2006.
[7] Redl, T. A., A Study of University Timetabling that Blends Graph Coloring with the Satisfaction of Various Essential and Preferential Conditions, Ph.D. Thesis, Rice University, Houston, Texas, 2004.
[8] S. Srinivasan, J. Singh, V. Kumar, Multi-Agent based Decision Support System Using Data Mining and Case Based Reasoning, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, July 2011.
[9] Obit, J. H., Landa-Silva, D., Ouelhadj, D., Khan Vun, T., Alfred, R., "Designing a Multi-Agent Approach System for Distributed Course TimeTabling," IEEE, 2011.
[10] Wangmaeteekul, P., Using Distributed Agents to Create University Course TimeTables Addressing Essential Desirable Constraints and Fair Allocation of Resources, Ph.D. Thesis, School of Engineering & Computing Sciences Durham University, 2011.
[11] Amintoosi, M., Haddadnia, J., "Fuzzy C-means Clustering Algorithm to Group Students in A Course into Smaller Sections," Springer-Verlag Berlin Heidelberg, LNCS 3616, pp. 147–160, 2005.
[12] Shatnawi, S., Al -Rababah, K., Bani-Ismail, B., "Applying a Novel Clustering Technique Based on FP- Tree to University Timetabling Problem: A Case Study," IEEE, 2010.
[13] D. DeWerra, An Introduction to TimeTabling, European Journal of Operational Research, 19: pp. 151-162, 1985.
[14] G.M. Asham, M.M. Soliman, A.R. Ramadan, Trans Genetic Coloring Approach for Timetabling Problem, Artificial Intelligence Techniques Novel Approaches & Practical Applications, IJCA, pp. 17-25, 2011.
[15] S. Daskalaki, T. Birbas, E. Housos, An integer programming formulation for a case study in university timetabling, European Journal of Operational Research, 153 (2004), pp. 117–135, 2004.
[16] S. Daskalaki, T. Birbas, Efficient solutions for a university timetabling problem through integer programming, European Journal of Operational Research, 160 (2005), pp. 106–120, 2005.
[17] P. Khonggamnerd, S. Innet, On Improvement of Effectiveness in Automatic University Timetabling Arrangement with Applied Genetic Algorithm, 978-0-7695-3896-9, IEEE, 2009.
[18] O. MK. Alsmadi, Z. S. Abo-Hammour, D. I. Abu-Al-Nadi, A. Algsoon, A Novel Genetic Algorithm Technique for Solving University Course Timetabling Problems, 978-1-4577-0690-5/11, IEEE, 2011.
[19] A. Mayer, C. Nothegger, A. Chwatal, G. Raidl, Solving the Post Enrolment Course Timetabling Problem by Ant Colony Optimization, In Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling, 2008.
[20] M. Ayob, G. Jaradat, Hybrid Ant Colony Systems For Course Timetabling Problems, 2nd Conference on Data Mining and Optimization 27-28 October 2009, Selangor, Malaysia, IEEE, pp. 120-126, 2009.
[21] N. S. Jat Y. Shengxiang, A Memetic Algorithm for the University Course Timetabling Problem, 20th IEEE International Conference on Tools with Artificial Intelligence, IEEE, pp. 427-433, 2008.
[22] R. Alvarez, E. Crespo, J. M. Tamarit, Design and Implementation of a Course Scheduling System Using Tabu Search, European Journal of Operational Research 137, pp. 512-523, 2002.
[23] C. H. Aladag, G. Hocaoglu, A. M. Basaran, The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem, Expert Systems with Application, 36 (2009), pp. 12349–12356, 2009.
[24] M. Tuga, R. Berretta, A. Mendes, A Hybrid Simulated Annealing with Kempe Chain Neighborhood for the University Timetabling Problem, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.
[25] Y. Shengxiang, N.S. Jat, Genetic Algorithms with Guided and Local Search Strategies for University Course Timetabling, IEEE Transactions on Systems, MAN, and Cybernetics-PART C: Applications and Reviews, Vol. 41, No. 1, January 2011.
[26] S. Abdullah, E.K. Burke, B. McColloum, An Investigation of Variable Neighborhood Search for University Course Timetabling, In The 2th Multidisciplinary Conference on Scheduling: Theory and Applications, NY, USA, pages 413-427, 2005.
[27] P. Kostuch, The University Course Timetabling Problem with a Three-Phase Approach, In Lecture Notes in Computer science, pages 109-125, Springer-Berlin / Heidelberg, 2005.
[28] M. Shahvali Kohshori, M. Saniee Abadeh, Hybrid Genetic Algorithms for University Course Timetabling, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 2, March 2012.
[29] H. Asmuni, E.K. Burke, J.M. Garibaldi, Fuzzy multiple heuristic ordering for course timetabling, The Proceedings of the 5th United Kingdom Workshop on Computational Intelligence (UKCI05), London, UK, pp 302-309 (2005b).
[30] A. Golabpour, H. Mozdorani Shirazi, A. Farahi, M. kootiani, H. beige, A fuzzy solution based on Memetic algorithms for timetabling, International Conference on MultiMedia and Information Technology, IEEE, pp. 108-110, 2008.
[31] A. Chaudhuri, D. Kajal, Fuzzy Genetic Heuristic for University Course Timetable Problem. Int. J. Advance. Soft Comput. Appl., Vol. 2, No. 1, ISSN 2074-8523, March 2010.
[32] Ross, j., T., “Fuzzy Logic with Engineering Applications,” John Wiley & Sons Ltd, University of New Mexico, New Mexico, 2004.