Multi-Swarm Single-Objective Particle Swarm Optimization to Extract Multiple-Choice Tests

This paper proposes the use of multi-swarm method in particle swarm optimization (PSO) algorithm to generate multiple-choice tests based on assumed objective levels of difficulty. The method extracts an abundance of tests at the same time with the same levels of difficulty and approximates the diffi...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Tram Nguyen, Toan Bui, Bay Vo
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	World Scientific Publishing 2019-05-01
Schriftenreihe:	Vietnam Journal of Computer Science
Schlagworte:	Test questions bank multiple-choice tests particle swarm optimization algorithm multi-swarm optimization multi-objective optimization
Online-Zugang:	http://www.worldscientific.com/doi/pdf/10.1142/S219688881950009X
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