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Benchmarking framework for command and control mission planning under uncertain environment

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Abstract

As the core of the military information system, the command and control (C2) mission planning suffers from the high complexity, environmental uncertainty. To address this problem, many studies highlight the agility and resilience of C2-organizations and propose many solutions. However, there is no benchmark to compare these models and methods. In order to understand such organization’s dynamic and emergence behaviors, this paper presents a benchmark framework of C2 decision-making under uncertainty environment. This is a basic case on multi-force joint operation. We present an optimization model and a horizon partition algorithm aimed to plan an optimal organizational structure with higher operational flexibility, low cost and high performance. Finally, we explore the main traditional models on the benchmark case. The result shows the proposed model is competitive under uncertain environment.

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Funding

This study was funded by the National Natural Science Foundation of China under Grant Numbers 71701205 and 71701206.

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Correspondence to Yanghe Feng.

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Yanghe Feng declares that he has no conflict of interest. Wei Shi declares that he has no conflict of interest. Wei Shi declares that he has no conflict of interest. Guangquan Cheng declares that he has no conflict of interest. Jincai Huang declares that he has no conflict of interest. Zhong Liu declares that he has no conflict of interest.

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This article does not contain any studies with human participants performed by any of the authors.

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Communicated by Y. Ni.

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Feng, Y., Shi, W., Shi, W. et al. Benchmarking framework for command and control mission planning under uncertain environment. Soft Comput 24, 2463–2478 (2020). https://doi.org/10.1007/s00500-018-03732-3

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  • DOI: https://doi.org/10.1007/s00500-018-03732-3

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