Author/Authors
abidin, didem celal bayar university - department of computer engineering, Manisa, Turkey
Title Of Article
GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION ALGORITHM COMPARED ON A NOVEL APPLICATION DOMAIN
شماره ركورد
43994
Abstract
In this paper, the performances of genetic algorithms (GA) and differential evolution (DE), which are two of the most popular optimization techniques used, are compared. There exist many other studies which compare these two; however, comparing those on an education material domain will be the contribution to the literature. The problem is stated as a sequencing problem of education material, in which the order of the topics covered really matters. Selection of the contents of the courses to be given to the students is an important factor to improve the level of education of the students. Representing the content of a course in the correct order is a critical task for instructors. In this study, the importance of the order of the contents of a course was emphasized and the performance of a course content sequencing mechanism using GA and DE was compared. The results put forward that, sequencing the course contents with GA performs better; however, DE is also obviously successful with a close score to that of the GA s.
From Page
45
NaturalLanguageKeyword
Genetic algorithm , differential evolution , sequencing , optimization
JournalTitle
Trakya university journal of engineering sciences
To Page
56
JournalTitle
Trakya university journal of engineering sciences
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