![](/images/graphics-bg.png)
Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests
Joint Authors
Bui, Toan
Nguyen, Tram
Huynh, Huy M.
Vo, Bay
Chun-Wei Lin, Jerry
Hong, Tzung-Pei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-01
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Education is mandatory, and much research has been invested in this sector.
An important aspect of education is how to evaluate the learners’ progress.
Multiple-choice tests are widely used for this purpose.
The tests for learners in the same exam should come in equal difficulties for fair judgment.
Thus, this requirement leads to the problem of generating tests with equal difficulties, which is also known as the specific case of generating tests with a single objective.
However, in practice, multiple requirements (objectives) are enforced while making tests.
For example, teachers may require the generated tests to have the same difficulty and the same test duration.
In this paper, we propose the use of Multiswarm Multiobjective Particle Swarm Optimization (MMPSO) for generating k tests with multiple objectives in a single run.
Additionally, we also incorporate Simulated Annealing (SA) to improve the diversity of tests and the accuracy of solutions.
The experimental results with various criteria show that our approaches are effective and efficient for the problem of generating multiple tests.
American Psychological Association (APA)
Bui, Toan& Nguyen, Tram& Huynh, Huy M.& Vo, Bay& Chun-Wei Lin, Jerry& Hong, Tzung-Pei. 2020. Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Scientific Programming،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1209103
Modern Language Association (MLA)
Bui, Toan…[et al.]. Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Scientific Programming No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1209103
American Medical Association (AMA)
Bui, Toan& Nguyen, Tram& Huynh, Huy M.& Vo, Bay& Chun-Wei Lin, Jerry& Hong, Tzung-Pei. Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1209103
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209103