Artificial Immune Algorithm for exams timetable

  • Tad Gonsalves Sophia University, Tokyo, Japan
  • Rina Oishi Faculty of Science & Technology, Sophia University, Tokyo
Keywords: Artificial Immune System, clonal algorithm, optimization, constrained optimization, time-tabling problems.

Abstract

The Artificial Immune System is a novel optimization algorithm designed on the resilient behavior of the immune system of vertebrates. In this paper, this algorithm is used to solve the constrained optimization problem of creating a university exam schedule and assigning students and examiners to each of the sessions. Penalties are imposed on the violation of the constraints. Abolition of the penalties on the hard constraints in the first stage leads to feasible solutions. In the second stage, the algorithm further refines the search in obtaining optimal solutions, where the exam schedule matches the preferences of the examiners.

Author Biographies

Tad Gonsalves, Sophia University, Tokyo, Japan

Associate Professor, Inforamtion & Communications Dept.,

Faculty of Science & Technology,

Rina Oishi, Faculty of Science & Technology, Sophia University, Tokyo
Department of Information and Communication Sciences

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Published
2015-07-06
How to Cite
Gonsalves, T., & Oishi, R. (2015). Artificial Immune Algorithm for exams timetable. Journal of Information Sciences and Computing Technologies, 4(2), 287-296. Retrieved from http://scitecresearch.com/journals/index.php/jisct/article/view/272
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Articles