Journal of Information Technology and Computer Science
Vol. 4 No. 3: Desember 2019

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

Jauhari, Farid (Unknown)
Mahmudy, Wayan Firdaus (Unknown)
Basuki, Achmad (Unknown)

Article Info

Publish Date
20 Dec 2019

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.

Copyrights © 2019




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Journal Info
Journal of Information Technology and Computer Science
Website

Abbrev

jitecs

Publisher

Universitas Brawijaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information ...