Memetic Computing

, Volume 4, Issue 1, pp 33–47 | Cite as

Divide-and-conquer memetic algorithm for online multi-objective test paper generation

  • Minh Luan Nguyen
  • Siu Cheung Hui
  • Alvis C. M. Fong
Regular Research Paper

Abstract

Online test paper generation (Online-TPG) generates a test paper automatically online according to user specification based on multiple assessment criteria, and the generated test paper can then be attempted online by user. Online-TPG is challenging as it is a multi-objective optimization problem that is NP-hard, and it is also required to satisfy the online generation requirement. In this paper, we propose an efficient multi-objective optimization approach based on the divide-and-conquer memetic algorithm (DAC-MA) for Online-TPG. Instead of solving the multi-objective constraints simultaneously, the set of constraints is divided into two subsets of relevant constraints, which can then be solved separately and effectively by evolutionary computation and local search of DAC-MA. The empirical performance results have shown that the proposed approach has outperformed other TPG techniques in terms of runtime efficiency and paper quality.

Keywords

Memetic algorithms Constraint satisfaction Multi-objective optimization Dimensionality reduction Online test paper generation 

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Minh Luan Nguyen
    • 1
  • Siu Cheung Hui
    • 1
  • Alvis C. M. Fong
    • 2
  1. 1.School of Computer EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.School of Computing and Math SciencesAuckland University of TechnologyAucklandNew Zealand

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