An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II

Authors

  • Farid Jauhari Faculty of Computer Science, Brawijaya University
  • Wayan Firdaus Mahmudy Faculty of Computer Science, Brawijaya University
  • Achmad Basuki Faculty of Computer Science, Brawijaya University

DOI:

https://doi.org/10.25126/jitecs.201943161

Abstract

Proportional tuition fees assessment is an optimization process to find a compromise point between student willingness to pay and institution income. Using a genetic algorithm to find optimal solutions requires effective chromosome representations, parameters, and operator genetic to obtain efficient search. This paper proposes a new chromosome representation and also finding efficient genetic parameters to solve the proportional tuition fees assessment problem. The results of applying the new chromosome representation are compared with another chromosome representation in the previous study. The evaluations show that the proposed chromosome representation obtains better results than the other in both execution time required and the quality of the solutions.

References

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Published

2019-12-20

How to Cite

Jauhari, F., Mahmudy, W. F., & Basuki, A. (2019). An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II. Journal of Information Technology and Computer Science, 4(3), 291–298. https://doi.org/10.25126/jitecs.201943161

Issue

Vol. 4 No. 3: Desember 2019

Section

Articles

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