Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm

Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm

Automatic test paper design is critical in education to reduce workloads for educators and facilitate an efficient teaching process. However, current designs fail to satisfy the realistic teaching requirements of educators, including the consideration of both test quality and efficiency. This is the...

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Bibliographic Details
Main Authors: Han Wang, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Jianghua Xia, Rui Xu
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
automated test paper design
multiple objectives optimization
linear programming
dynamic programming
genetic algorithm
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024162?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024162?viewType=HTML

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