MERKEZİ SINAVLARDA YAŞANAN SINAV ÇİZELGELEME PROBLEMLERİNİN GENETİK ALGORİTMALAR İLE ÇÖZÜLMESİ

Abstract

Bir sınav çizelgeleme uygulamasından beklenen kaynakların verimli kullanımıdır. Kaynakları verimli kullanabilmek ve en kısa zamanda en az maliyetle bütün sınavların gerçekleştirilmesi için çeşitli kıstaslar vardır. Yapılan çalışma ile bu tür kıstaslara sahip eğitim kurumlarının, merkezi sınav organizasyonlarını başarıyla gerçekleştirmesi amaçlanmıştır. Çalışmada, iki aşamalı genetik algoritma geliştirilmiştir. Birinci aşamada derslerin oturumlara atanması işlemi, ikinci aşamada ise ilgili oturumda sınava katılacak öğrencilerin sınav salonlarına atanması işlemi gerçekleştirilmiştir. Oturumlara katılan ortak öğrenci sayısının arttırılması, aynı oturumda asgari bina kullanımı, mümkün olan en az sayıda sınıf-sıra kullanılarak gözetmen sayısının azaltılması yapılan çalışmanın amaçlarını oluşturmaktadır. Yapılan bu çalışmada eğitim kurumlarına yönelik genel amaçlı sınav çizelgeleme çözümü sunulmuştur. Geliştirilen sistem farklı merkezi sınavlar içinde kullanılabilmesiyle özgünlük oluşturmaktadır. Örnek uygulama sonuçlarına bakıldığında önerilen genetik algoritmanın başarılı sonuçlar verdiği görülmektedir.

Keywords

• Merkezi Sınavlar,Genetik Algoritma,Sınav Planlama Problemi,Çözme

SOLVING THE EXAM SCHEDULING PROBLEMS IN CENTRAL EXAMS WITH GENETIC ALGORITHMS

Abstract

It is the efficient use of resources expected from an exam scheduling application. There are various criteria for efficient use of resources and for all tests to be carried out at minimum cost in the shortest possible time. It is aimed that educational institutions with such criteria successfully carry out central examination organizations. In the study, a two-stage genetic algorithm was developed. In the first stage, the assignment of courses to sessions was carried out. In the second stage, the students who participated in the test session were assigned to examination rooms. Purposes of the study are increasing the number of joint students participating in sessions, using the minimum number of buildings in the same session, and reducing the number of supervisors using the minimum number of classrooms possible. In this study, a general purpose exam scheduling solution for educational institutions was presented. The developed system can be used in different central examinations to create originality. Given the results of the sample application, it is seen that the proposed genetic algorithm gives successful results.

Keywords

• Central Exams,Genetic Algorithm,Exam Scheduling Problem,Solving

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