Multi-parent order crossover mechanism of genetic algorithm for minimizing violation of soft constraint on course timetabling problem

Authors

  • Ahmad Miftah Fajrin Institut Teknologi Sepuluh Nopember, Surabaya
  • Chastine Fatichah Institut Teknologi Sepuluh Nopember, Surabaya

DOI:

https://doi.org/10.26594/register.v6i1.1663

Keywords:

course timetabling problem, Genetic Algorithm, multi-parent crossover, order crossover, soft constraint

Abstract

A crossover operator is one of the critical procedures in genetic algorithms. It creates a new chromosome from the mating result to an extensive search space. In the course timetabling problem, the quality of the solution is evaluated based on the hard and soft constraints. The hard constraints need to be satisfied without violation while the soft constraints allow violation. In this research, a multi-parent crossover mechanism is used to modify the classical crossover and minimize the violation of soft constraints, in order to produce the right solution. Multi-parent order crossover mechanism tends to produce better chromosome and also prevent the genetic algorithm from being trapped in a local optimum. The experiment with 21 datasets shows that the multi-parent order crossover mechanism provides a better performance and fitness value than the classical with a zero fitness value or no violation occurred. It is noteworthy that the proposed method is effective to produce available course timetabling.

Author Biographies

Ahmad Miftah Fajrin, Institut Teknologi Sepuluh Nopember, Surabaya

Department of Informatic Engineering

Chastine Fatichah, Institut Teknologi Sepuluh Nopember, Surabaya

Department of Informatic Engineering

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Published

2020-04-03

How to Cite

[1]
A. M. Fajrin and C. Fatichah, “Multi-parent order crossover mechanism of genetic algorithm for minimizing violation of soft constraint on course timetabling problem”, Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 6, no. 1, pp. 43–51, Apr. 2020.

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