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A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems

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Learning and Intelligent Optimization (LION 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6683))

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Abstract

A hybrid fish swarm algorithm has been proposed to solve exam timetabling problems where the movement of the fish is simulated when searching for food inside water (refer as a search space). The search space is categorised into three categories which are crowded, not crowded and empty areas. The movement of fish (where the fish represents the solution) is determined based on a Nelder-Mead simplex search algorithm. The quality of the solution is enhanced using a great deluge algorithm or a steepest descent algorithm. The proposed hybrid approach is tested on a set of benchmark examination timetabling problems in comparison with a set of state-of-the-art methods from the literature. The experimental results show that the proposed hybrid approach is able to produce promising results for the test problem.

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Author information

Authors and Affiliations

  1. Computer Science Department, Faculty of Science and Information Technology, Zarka University, Jordan

    Hamza Turabieh

  2. Data Mining and Optimisation Research Group (DMO), Center for Artificial Intelligence Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Salwani Abdullah

Authors
  1. Hamza Turabieh
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  2. Salwani Abdullah
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Editors and Affiliations

  1. Departmento de Computation, Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Av. IPN No. 2508, Col. San Pedro Zacatenco, D.F. 0360, Mexico, Mexico

    Carlos A. Coello Coello

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Turabieh, H., Abdullah, S. (2011). A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems. In: Coello, C.A.C. (eds) Learning and Intelligent Optimization. LION 2011. Lecture Notes in Computer Science, vol 6683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25566-3_42

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  • DOI: https://doi.org/10.1007/978-3-642-25566-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25565-6

  • Online ISBN: 978-3-642-25566-3

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