Shipwrecked on Fear: Selection of Electives in School Minorities in a University Using Cuckoo Search Algorithm

  • Alberto Ochoa-Zezzatti
  • Oscar Castillo
  • Patricia Melín
  • Nemesio Castillo
  • Sandra Bustillos
  • Julio Arreola
Part of the Studies in Computational Intelligence book series (SCI, volume 547)

Abstract

The purpose of this research is to understand from a Multivariable optimization related with four scholar minorities studies in a University with approximately 87 educational studies on Bachelor level, this sample is composed by: (Safety Sciences, Interior Design, Sports Training and Aeronautics) assuming that any student want to analyze the way in which these minority groups selected electives to complete the set of credits in their respective studies to determine the optimal selection which involve the choice of these materials in educational majority groups to determine the benefit-cost associated with the term professional studies, whose main base the restriction on a small number of subjects in their studies this because such a low minority enrollment, even though this problem has been studied repeatedly by many researchers on the literature have not been established optimal values by supporting bio-inspired algorithms to interact with the different values associated with the achievement of the term loans and the cost-benefit every student to a minority group and comparing their choices of electives with respect the group. There are several factors that can influence the selection of an elective, for our research we propose to use a new bio-inspired algorithm called “Cuckoo search algorithm,” which has proven effective for the cohesion of behavior associated with several problems, and when and use restrictions have strategies to keep tempo in the selection of these materials, in our case, a resource such as time gain regarding the subjects studied is represented as the optimal way for the duration of the professional studies with uncertainty not know how long it can last set appropriate conditions for the selection of specialized subjects.

Keywords

Multiobjective problem Cuckoo search algorithm and intelligent optimization 

Notes

Acknowledgments

The authors were supported with funds from Social Research Center in Juarez City University and used data from Scholar Services associated with four Academic minorities in UACJ at Chihuahua State whom permits compare the simulation with real selection of subjects realized by these minorities.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alberto Ochoa-Zezzatti
    • 1
  • Oscar Castillo
    • 2
  • Patricia Melín
    • 2
  • Nemesio Castillo
    • 1
  • Sandra Bustillos
    • 1
  • Julio Arreola
    • 1
  1. 1.Juarez City UniversityJuarezMéxico
  2. 2.Technology Institute of TijuanaTijuanaMéxico

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