Intelligent design for simulation models of weapon systems using a mathematical structure and case-based reasoning

Dohyun Kim, Dongsu Jeong, Yoonho Seo

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


The armed forces of major nations have utilized modeling and simulation technologies to develop weapon systems corresponding to changing modern battlefields and reducing the development cycle. However, model design is complex owing to the characteristics of current weapons, which require multiple functions. Therefore, this study proposes a method to support the automated design of weapon system models for simulation. We apply module-based modeling and an intelligent modeling process to our devised method. The former formalizes constituents and constraints regarding an element combination to design the required model, while the latter applies case-based reasoning (CBR) to intelligentize the modeling process based on the results of the former. Using a case study, our proposed method demonstrates that models that respond to operational circumstances can be designed based on simulation results. Consequently, when weapon systems can be represented in formalized structures and constituents, the weapon models can be reusable based on the addition, modification, and replacement of modules in the common structure. The CBR process can provide the models that satisfy the requirements by retrieving similar models and modifying the models. The proposed method is applicable to the process of weapon system design or improvement for changing battlefields.

Original languageEnglish
Article number7642
Pages (from-to)1-21
Number of pages21
JournalApplied Sciences (Switzerland)
Issue number21
Publication statusPublished - 2020 Nov 1

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.


  • Adaptable design
  • Automated design
  • Case-based reasoning
  • Configurable modeling
  • Simulation modeling
  • Weapon systems

ASJC Scopus subject areas

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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