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All Journal Journal of Information Technology and Computer Science
Farid Jauhari
Faculty of Computer Science, Brawijaya University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II Farid Jauhari; Wayan Firdaus Mahmudy; Achmad Basuki
Journal of Information Technology and Computer Science Vol. 4 No. 3: Desember 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.152 KB) | DOI: 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.
Co-Authors Achmad Basuki Wayan Firdaus Mahmudy