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An Investigation of Generality in two-layer Multi-agent Framework towards different domains

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Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 603))

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Abstract

This paper proposes a two-layer multi-agent communication in two different environments. The communications in both layers of the framework are studied in order to determine the relevancy of agents to manage themselves towards different constraints across several domains. In this context, the generality of the multi-agent framework is measure by how well the agents improve the quality of solution compared with existing meta-heuristics. The two domains considered are university course timetabling and examination timetabling problems in Universiti Malaysia Sabah. The results are then compared with meta-heuristics introduced in previous studies using the same domains.

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References

  1. Wren, A.: Scheduling, timetabling and rostering—a special relationship?. In: International conference on the practice and theory of automated timetabling, pp. 46-75. Springer, Berlin, Heidelberg (1995).

    Google Scholar 

  2. Di Gaspero, L., Mizzaro, S., Schaerf, A.: A multiagent architecture for distributed course timetabling. In: Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT-2004), pp. 471-474. (2004).

    Google Scholar 

  3. Obit, J.H., Landa-Silva, D., Ouelhadj, D., Vun, T.K., Alfred, R.: Designing a multi-agent approach system for distributed course timetabling. In: Hybrid Intelligent Systems (HIS), 2011 11th International Conference, pp. 103-108. IEEE (2011).

    Google Scholar 

  4. Strnad, D., Guid, N.: A multi-agent system for university course timetabling. Applied Artificial Intelligence 21(2), 137-153 (2007).

    Google Scholar 

  5. Kaplansky, E., Kendall, G., Meisels, A., Hussin, N.: Distributed examination timetabling. In: Proc. of the 5th International Conference of the Practice and Theory of Automated Timetabling (PATAT), pp. 511-516. Pittsburg, USA (2004).

    Google Scholar 

  6. Meisels, A., Kaplansky, E.: Scheduling agents–distributed timetabling problems. Practice and Theory of Automated Timetabling IV, 166-177 (2003).

    Google Scholar 

  7. Xiang, Y., Zhang, W.: Distributed University Timetabling with Multiply Sectioned Constraint Networks. In: FLAIRS Conference, pp. 567-571 (2008).

    Google Scholar 

  8. Yang, Y., Paranjape, R., Benedicenti, L.: An examination of mobile agents system evolution in the course scheduling problem. In: Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No. 04CH37513), vol. 2, pp. 657-660. IEEE (2004).

    Google Scholar 

  9. Yang, Y., Paranjape, R., Benedicenti, L., Reed, N.: A system model for university course timetabling using mobile agents. Multiagent and Grid Systems 2(3), 267-275 (2006).

    Google Scholar 

  10. Yang, Y., Paranjape, R., Benedicenti, L.: An agent based general solution model for the course timetabling problem. In: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, pp. 1430-1432. ACM (2006).

    Google Scholar 

  11. Oprea, M.: MAS_UP-UCT: A multi-agent system for university course timetable scheduling. International Journal of Computers Communications & Control 2(1), 94-102 (2007).

    Google Scholar 

  12. Nandhini, M., Kanmani, S.: Implementation of class timetabling using multi agents. In: 2009 International Conference on Intelligent Agent & Multi-Agent Systems, pp. 1-2. IEEE (2009).

    Google Scholar 

  13. Pedroso, J.P.: A multi-agent system for automated timetabling with shared resources. Faculdade de Ciencias da Universidade do Porto Departamento de Ciencia de Computadores Rua do Campo Alegre, 8234150-180 (2003).

    Google Scholar 

  14. Obit, J.H., Junn, K.Y., Alfred, R.: A Performance Comparison of Metaheuristics Search for University Course Timetabling Problems. Advanced Science Letters 23(11), 11012-11015 (2017).

    Google Scholar 

  15. Obit, J.H., Junn, K.Y., Alfred, R.: Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems. Advanced Science Letters 23(11), 11027-11030 (2017).

    Google Scholar 

  16. Junn, K.Y., Obit, J.H., Alfred, R.: Comparison of simulated annealing and great deluge algorithms for university course timetabling problems (UCTP), Advanced Science Letters 23(11), 11413-11417 (2017).

    Google Scholar 

  17. Junn, K.Y., Obit, J.H., Alfred, R.: The Study of Genetic Algorithm Approach to Solving University Course Timetabling Problem. In: International Conference on Computational Science and Technology, pp. 454-463. Springer, Singapore (2017).

    Google Scholar 

  18. Junn, K.Y., Obit, J.H., Alfred, R., Bolongkikit, J.: A Formal Model of Multi-agent System for University Course Timetabling Problems. In: Computational Science and Technology, pp. 215-225. Springer, Singapore (2019).

    Google Scholar 

  19. June, T.L., Obit, J.H., Leau, Y.B., Bolongkikit, J.: Implementation of Constraint Programming and Simulated Annealing for Examination Timetabling Problem. In: Computational Science and Technology, pp. 175-184. Springer, Singapore (2019).

    Google Scholar 

  20. Yang, Y., Paranjape, R.: A multi-agent system for course timetabling. Intelligent Decision Technologies 5(2), 113-131 (2011).

    Google Scholar 

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Correspondence to Kuan Yik Junn .

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Junn, K.Y., Obit, J.H., Alfred, R., Bolongkikit, J., Leau, YB. (2020). An Investigation of Generality in two-layer Multi-agent Framework towards different domains. In: Alfred, R., Lim, Y., Haviluddin, H., On, C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore. https://doi.org/10.1007/978-981-15-0058-9_26

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  • DOI: https://doi.org/10.1007/978-981-15-0058-9_26

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0057-2

  • Online ISBN: 978-981-15-0058-9

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