Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (5): 1057-1063.doi: 10.3969/j.issn.1001-506X.2018.05.15

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Solving method for decision-makers configuration problems based on rollout strategy

LIAO Mengchen1, SUN Peng1,2, ZHANG Jieyong1, WU Junsheng3   

  1. 1. Information and Navigation College, Air Force Engineering University, Xi’an 710077, China; 2. School of Computer Science, Northwestern Polytechnical University, Xi’an 710077, China; 3. School of Software and Microelectronics, Northwestern Polytechnical University, Xi’an 710077, China
  • Online:2018-04-28 Published:2018-04-24

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Abstract:

To solve the problem of decision-makers (DM) configuration led by traditional hierarchical clustering algorithms under the greedy strategy, an improved hierarchical clustering algorithm based on the rollout strategy is presented. On the basis of analyzing the relationship and constraints among the DM entity, the platform and the task, the processing time of the operational task is used to measure DM’s workload, and the mathematical model of root mean square (RMS) of DM’s workload as the objective function is established. Relationship between the task and the platform is input, the rollout strategy is used to optimize the hierarchical clustering of each layer under minimum RMS merger criterion, and the optimal configuration relationship between the platform and the DM is obtained. Finally, the feasibility and superiority of the algorithm are verified by a case of joint campaign and a general case.

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