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Proceedings of the Third International Conference on Soft Computing for Problem Solving pp 321–332Cite as

Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

In this paper, we introduce a new Happiness parameter along with Genetic Algorithm for generating course timetable. This happiness parameter will generate appropriately feasible solution and account for the comfort and happiness of the instructor and students both (indicating the appropriateness of the resulting solution). The final result obtained from this approach shows that the solution space is reduced considerably and hence a feasible solution is obtained. Using this parameter, it can also be analysed that the solution obtained from Genetic Algorithm without Happiness Parameter are unfavourable most of the times. We perform experiments on data of Department of Computer Engineering, G.B. Pant University of Agriculture and Technology, Pantnagar and are able to produce promising results.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, G.B. Pant University of Agriculure and Technology, Pantnagar, Uttarakhand, India

    Ravitashaw Bathla, Shubham Jain & Rajeev Singh

Authors
  1. Ravitashaw Bathla
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  2. Shubham Jain
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  3. Rajeev Singh
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Corresponding author

Correspondence to Ravitashaw Bathla .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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© 2014 Springer India

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Bathla, R., Jain, S., Singh, R. (2014). Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_28

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_28

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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