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Layout optimization of a military operations center using a genetic algorithm

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  • Wenbi Wang

Abstract

A genetic algorithm was developed to support the spatial layout design of military operations centers. Based on an abstract representation of the workplace, the algorithm uses a textual string as the genetic encoding method, two genetic operations (i.e., selection and swap) for simulating an evolution process, a fitness function that reflects a human factors characterization of workplace layout requirements, and an elitist strategy for improving its search efficiency. The effectiveness of the algorithm was demonstrated in the design of a mid-sized operations center that involved a team of 68 operators. This algorithm expands the human factors practitioners’ toolkit and enhances their ability to examine layout options of complex workplaces using modeling and simulation.

Suggested Citation

  • Wenbi Wang, 2021. "Layout optimization of a military operations center using a genetic algorithm," The Journal of Defense Modeling and Simulation, , vol. 18(4), pages 485-493, October.
    • Handle: RePEc:sae:joudef:v:18:y:2021:i:4:p:485-493
    DOI: 10.1177/1548512920937077
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    References listed on IDEAS

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    1. Wu, Xiaodan & Chu, Chao-Hsien & Wang, Yunfeng & Yan, Weili, 2007. "A genetic algorithm for cellular manufacturing design and layout," European Journal of Operational Research, Elsevier, vol. 181(1), pages 156-167, August.
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    Cited by:

    1. Wenbi Wang, 2025. "SPACE: a new modeling tool for supporting layout design of military command and control spaces," The Journal of Defense Modeling and Simulation, , vol. 22(2), pages 215-226, April.

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